{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Notebook for making supplementary figures"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from matplotlib import rc\n",
    "rc('font',**{'family':'sans-serif','sans-serif':['Helvetica Neue']})\n",
    "#rc('font',**{'family':'serif','serif':['Times']})\n",
    "rc('text', usetex=False)\n",
    "import re"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finding recurrent mutations (DNA level)\n",
    "\n",
    "Generate list of tuples containing [gene_name, mutation_info] and sort with np.unique() on this list of tuples to find unique mutations. \n",
    "\n",
    "For INS/DEL, include start/end site.\n",
    "\n",
    "Coincidently, create a list of [index in database] and [patient barcodes] to allow for further filtration based on whether there are multiple patient samples."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/5g/xxjcy2g531n02hnyb6d8qdsr0000gn/T/ipykernel_30481/836307472.py:2: DtypeWarning: Columns (45,48,88) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  impact_data = pd.read_csv(filepath, sep='\\t')\n"
     ]
    }
   ],
   "source": [
    "filepath = '/Volumes/Sam_G_SSD/2020-06-16-MSK-IMPACT_EDITED.txt'\n",
    "impact_data = pd.read_csv(filepath, sep='\\t')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#starting with SNPs\n",
    "def recurrence_quant(variant_type):\n",
    "    \"choose SNP, DEL, INS, DNP, or ONP\"\n",
    "    snps = impact_data[impact_data['Variant_Type']==variant_type]\n",
    "\n",
    "    idx = list(snps.index)\n",
    "    barcode_list = list(snps['Tumor_Sample_Barcode'])\n",
    "    patient_barcode = [i[:9] for i in barcode_list]\n",
    "\n",
    "    gene_list = list(snps['Hugo_Symbol'])\n",
    "    start = list(snps['Start_Position'])\n",
    "    end = list(snps['End_Position'])\n",
    "    allele = list(snps['Tumor_Seq_Allele2'])\n",
    "    ref_allele = list(snps['Reference_Allele'])\n",
    "    hgvsp = list(snps['HGVSp'])\n",
    "\n",
    "    comb = [[gene_list[i], start[i], end[i], ref_allele[i], allele[i], hgvsp[i]] for i in range(len(gene_list))]\n",
    "\n",
    "    uniq, counts= np.unique(comb, axis=0, return_counts=True)\n",
    "\n",
    "    str_version_comb = []\n",
    "    for i in comb:\n",
    "        j = []\n",
    "        for k in i:\n",
    "            st = str(k)\n",
    "            j.append(st)\n",
    "        str1 = j[0] + j[1] + j[2] + j[3]\n",
    "        str_version_comb.append(str1)\n",
    "\n",
    "    str_version_uniq = []\n",
    "    for i in uniq:\n",
    "        j = []\n",
    "        for k in i:\n",
    "            st = str(k)\n",
    "            j.append(st)\n",
    "        str1 = j[0] + j[1] + j[2] + j[3]\n",
    "        str_version_uniq.append(str1)\n",
    "\n",
    "    pat_bar_list = [] #holds which patient barcodes correspond to mutation \n",
    "    index_list = [] #holds which indexes (in MSK IMPACT) correspond to mutation \n",
    "\n",
    "    for i in str_version_uniq:\n",
    "        found_idx = np.where(np.array(str_version_comb)==i)[0]\n",
    "\n",
    "        id1 = []\n",
    "        bar = []\n",
    "        for k in found_idx:\n",
    "            bar.append(patient_barcode[k])\n",
    "            id1.append(idx[k])\n",
    "        pat_bar_list.append(bar)\n",
    "        index_list.append(id1)\n",
    "\n",
    "    ####save firts then this section\n",
    "    true_counts = []\n",
    "    unique_barcodes = []\n",
    "    for i in pat_bar_list:\n",
    "        uniq_bars, bar_counts = np.unique(i, return_counts=True)\n",
    "        unique_barcodes.append(uniq_bars)\n",
    "\n",
    "        subtract = np.sum(bar_counts - np.ones(len(uniq_bars))) #e.g. [2,1]-[1,1] = 1 > should subtract one from total\n",
    "        true = np.sum(bar_counts)-subtract\n",
    "        true_counts.append(true)\n",
    "\n",
    "\n",
    "    df_recur = pd.DataFrame(uniq[:,0], columns=['gene'])\n",
    "    df_recur['start'] = uniq[:,1]\n",
    "    df_recur['end'] = uniq[:,2]\n",
    "    df_recur['ref_allele'] = uniq[:,3]\n",
    "    df_recur['tumor_allele'] = uniq[:,4]\n",
    "    df_recur['AA_consequence']=uniq[:,5]\n",
    "\n",
    "    df_recur['num_occur'] = true_counts\n",
    "    df_recur['barcodes'] = unique_barcodes\n",
    "    df_recur['indeces'] = index_list\n",
    "\n",
    "    return df_recur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DNP_recurrent_dna.csv\n",
      "ONP_recurrent_dna.csv\n",
      "DEL_recurrent_dna.csv\n",
      "INS_recurrent_dna.csv\n"
     ]
    }
   ],
   "source": [
    "#these tables are provided in the public dropbox repository\n",
    "#in the \"recurrent mutant tables\" folder\n",
    "\n",
    "variant_type_list=['SNP','DNP', 'ONP', 'DEL', 'INS']\n",
    "for variant_type in variant_type_list:\n",
    "    df_recur = recurrence_quant(variant_type)\n",
    "    name = variant_type + '_recurrent_dna.csv'\n",
    "    print(name)\n",
    "    df_recur.to_csv(name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Making figures with all reccurrent mutants quantified, then breaking down by each mutant type (with correct colors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "filepath = '/Users/samgould/Desktop/FSR Lab/2022-05-11/'\n",
    "snp_rec = pd.read_csv(filepath+ 'recurrent_DNA_SNP_fullinfo.csv')\n",
    "dnp_rec = pd.read_csv(filepath+'DNP_recurrent_dna.csv')\n",
    "onp_rec = pd.read_csv(filepath+'ONP_recurrent_dna.csv')\n",
    "del_rec = pd.read_csv(filepath+'DEL_recurrent_dna.csv')\n",
    "ins_rec = pd.read_csv(filepath+'INS_recurrent_dna.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "dnp_rec = dnp_rec.drop(['Unnamed: 0'], axis=1)\n",
    "onp_rec = onp_rec.drop(['Unnamed: 0'], axis=1)\n",
    "del_rec = del_rec.drop(['Unnamed: 0'], axis=1)\n",
    "ins_rec = ins_rec.drop(['Unnamed: 0'], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "result = pd.concat([snp_rec, dnp_rec, onp_rec, del_rec, ins_rec])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gene</th>\n",
       "      <th>start</th>\n",
       "      <th>end</th>\n",
       "      <th>ref_allele</th>\n",
       "      <th>tumor_allele</th>\n",
       "      <th>num_occur</th>\n",
       "      <th>AA_consequence</th>\n",
       "      <th>barcodes</th>\n",
       "      <th>indeces</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABL1</td>\n",
       "      <td>133710842</td>\n",
       "      <td>133710842</td>\n",
       "      <td>G</td>\n",
       "      <td>C</td>\n",
       "      <td>1.0</td>\n",
       "      <td>p.Glu3Asp</td>\n",
       "      <td>['P-0001539']</td>\n",
       "      <td>[296224]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ABL1</td>\n",
       "      <td>133710843</td>\n",
       "      <td>133710843</td>\n",
       "      <td>A</td>\n",
       "      <td>G</td>\n",
       "      <td>1.0</td>\n",
       "      <td>p.Ile4Val</td>\n",
       "      <td>['P-0037077']</td>\n",
       "      <td>[200589]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ABL1</td>\n",
       "      <td>133710859</td>\n",
       "      <td>133710859</td>\n",
       "      <td>T</td>\n",
       "      <td>C</td>\n",
       "      <td>1.0</td>\n",
       "      <td>p.Val9Ala</td>\n",
       "      <td>['P-0004379']</td>\n",
       "      <td>[119674]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ABL1</td>\n",
       "      <td>133710861</td>\n",
       "      <td>133710861</td>\n",
       "      <td>G</td>\n",
       "      <td>A</td>\n",
       "      <td>1.0</td>\n",
       "      <td>p.Gly10Ser</td>\n",
       "      <td>['P-0003900']</td>\n",
       "      <td>[118210]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABL1</td>\n",
       "      <td>133710873</td>\n",
       "      <td>133710873</td>\n",
       "      <td>A</td>\n",
       "      <td>G</td>\n",
       "      <td>1.0</td>\n",
       "      <td>p.Lys14Glu</td>\n",
       "      <td>['P-0029972']</td>\n",
       "      <td>[244050]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10046</th>\n",
       "      <td>ZRSR2</td>\n",
       "      <td>15821895</td>\n",
       "      <td>15821896</td>\n",
       "      <td>-</td>\n",
       "      <td>A</td>\n",
       "      <td>1.0</td>\n",
       "      <td>p.Arg99ThrfsTer46</td>\n",
       "      <td>['P-0036284']</td>\n",
       "      <td>[204868]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10047</th>\n",
       "      <td>ZRSR2</td>\n",
       "      <td>15841069</td>\n",
       "      <td>15841070</td>\n",
       "      <td>-</td>\n",
       "      <td>TG</td>\n",
       "      <td>1.0</td>\n",
       "      <td>p.Pro385LeufsTer?</td>\n",
       "      <td>['P-0008689']</td>\n",
       "      <td>[339434, 407057]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10048</th>\n",
       "      <td>ZRSR2</td>\n",
       "      <td>15841123</td>\n",
       "      <td>15841124</td>\n",
       "      <td>-</td>\n",
       "      <td>G</td>\n",
       "      <td>2.0</td>\n",
       "      <td>p.Lys405GlufsTer23</td>\n",
       "      <td>['P-0025100' 'P-0041067']</td>\n",
       "      <td>[153392, 210519, 241901]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10049</th>\n",
       "      <td>ZRSR2</td>\n",
       "      <td>15841230</td>\n",
       "      <td>15841231</td>\n",
       "      <td>-</td>\n",
       "      <td>AGCCGG</td>\n",
       "      <td>5.0</td>\n",
       "      <td>p.Ser447_Arg448dup</td>\n",
       "      <td>['P-0012496' 'P-0016427' 'P-0021403' 'P-002675...</td>\n",
       "      <td>[233084, 254504, 306632, 405001, 409126]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10050</th>\n",
       "      <td>ZRSR2</td>\n",
       "      <td>15841230</td>\n",
       "      <td>15841231</td>\n",
       "      <td>-</td>\n",
       "      <td>AGCCGGAGCCGGAGCCGG</td>\n",
       "      <td>5.0</td>\n",
       "      <td>p.Ser443_Arg448dup</td>\n",
       "      <td>['P-0012496' 'P-0016427' 'P-0021403' 'P-002675...</td>\n",
       "      <td>[233084, 254504, 306632, 405001, 409126]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>246981 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        gene      start        end ref_allele        tumor_allele  num_occur  \\\n",
       "0       ABL1  133710842  133710842          G                   C        1.0   \n",
       "1       ABL1  133710843  133710843          A                   G        1.0   \n",
       "2       ABL1  133710859  133710859          T                   C        1.0   \n",
       "3       ABL1  133710861  133710861          G                   A        1.0   \n",
       "4       ABL1  133710873  133710873          A                   G        1.0   \n",
       "...      ...        ...        ...        ...                 ...        ...   \n",
       "10046  ZRSR2   15821895   15821896          -                   A        1.0   \n",
       "10047  ZRSR2   15841069   15841070          -                  TG        1.0   \n",
       "10048  ZRSR2   15841123   15841124          -                   G        2.0   \n",
       "10049  ZRSR2   15841230   15841231          -              AGCCGG        5.0   \n",
       "10050  ZRSR2   15841230   15841231          -  AGCCGGAGCCGGAGCCGG        5.0   \n",
       "\n",
       "           AA_consequence                                           barcodes  \\\n",
       "0               p.Glu3Asp                                      ['P-0001539']   \n",
       "1               p.Ile4Val                                      ['P-0037077']   \n",
       "2               p.Val9Ala                                      ['P-0004379']   \n",
       "3              p.Gly10Ser                                      ['P-0003900']   \n",
       "4              p.Lys14Glu                                      ['P-0029972']   \n",
       "...                   ...                                                ...   \n",
       "10046   p.Arg99ThrfsTer46                                      ['P-0036284']   \n",
       "10047   p.Pro385LeufsTer?                                      ['P-0008689']   \n",
       "10048  p.Lys405GlufsTer23                          ['P-0025100' 'P-0041067']   \n",
       "10049  p.Ser447_Arg448dup  ['P-0012496' 'P-0016427' 'P-0021403' 'P-002675...   \n",
       "10050  p.Ser443_Arg448dup  ['P-0012496' 'P-0016427' 'P-0021403' 'P-002675...   \n",
       "\n",
       "                                        indeces  \n",
       "0                                      [296224]  \n",
       "1                                      [200589]  \n",
       "2                                      [119674]  \n",
       "3                                      [118210]  \n",
       "4                                      [244050]  \n",
       "...                                         ...  \n",
       "10046                                  [204868]  \n",
       "10047                          [339434, 407057]  \n",
       "10048                  [153392, 210519, 241901]  \n",
       "10049  [233084, 254504, 306632, 405001, 409126]  \n",
       "10050  [233084, 254504, 306632, 405001, 409126]  \n",
       "\n",
       "[246981 rows x 9 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#double check that this is correct....\n",
    "g = np.array(result['num_occur'])\n",
    "unique, counts = np.unique(g, return_counts=True)\n",
    "cum_sum = [sum(counts[i:]) for i in range(len(counts))] \n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.plot(unique, cum_sum, linewidth=4, alpha=0.5, c='black')\n",
    "plt.scatter(unique, cum_sum, c='black')\n",
    "plt.xlabel('≥ # Patients with Mutation', fontsize=15)\n",
    "plt.ylabel('Unique mutations (DNA level)', fontsize=15)\n",
    "plt.xlim(0.7,10.8)\n",
    "plt.xticks(range(1,11),fontsize=15)\n",
    "plt.yticks(fontsize=12)\n",
    "for i in range(10):\n",
    "    plt.text(unique[i]+.1, cum_sum[i]+3000, cum_sum[i], fontsize=12)\n",
    "\n",
    "plt.tight_layout()\n",
    "#plt.savefig('recurrent_all_muts.png', dpi=250)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAEYCAYAAABiECzgAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAzL0lEQVR4nO3deXikVZn38e+vqpL0SqeXBHoB2aFxQ+3RAcHB1wUBl5nBZVBBRpZXGHVUHBVxBNRhhndQEBUYUGxA1BERVzZZFHSGpUFFkAaanW66O71v6aSW+/3jnEoqlar0k6Qq1ancn+uqK1XPdk5luXPqnPPcR2aGc865sZdqdAWcc26i8gDsnHMN4gHYOecaxAOwc841iAdg55xrEA/AzjnXIB6AnYsk/UbSZfG5SfqjpJYKxy2VdE7J670lXSnpOUnbJT0p6XxJ7WNXezceeQB2rrpXAp8Y6gBJncBvgGnAccCrgS8C7weuk+R/Y66qTKMr4NxO7HfAuZJ+bGZPVznmvcAM4Dgzy8dtf5H0PPBb4DXA/fWvqhuP/L+zc9VdBvwZuESSqhzTCqSBuWXbfw+8A3iuftVz450HYOeqywOnAG8B3lflmB8Ca4BHJF0u6QOS9jKzvJn90sxWjVVl3fjjAdi5IZjZQ8AFwEWSZlbYvwJYBJwPvBxYDDwl6WFJx41lXd344wHYuR37ErCNEGQHMbM1ZnaemR0CTAfeBDwKfN+DsBuKB2DndsDMtgEfAU6RdFjpPkkXS3pfybHbzewOM3sPcCNw/NjW1o0nHoCdS8DMbgWuBS4H2kp2vQT4tKTWKqdurHfd3Pjl09CcS+5TwFKgtC/4y8BdwC2Svgosi/s/ABwOvHGsK+nGD28BO5eQma0GzijbtoRw88UzwMXAn4DrgHbg9Wb2wNjW0o0n8hUxnHOuMbwF7JxzDeIB2DnnGsQDsHPONYgHYOecaxCfhgbMmTPH9txzz0ZXwznXpB544IE1ZtZRvt0DMLDnnnuyZMmSRlfDOdekJD1babt3QTjnXIN4AHbOuQbxAOyccw3iAdg55xrEA7BzzjWIz4LYgetXruO8J1ewvDfHvNYMZ+0zj2N3m9XoajnnmsCYtoAl7SnpQUnvjq/Tki6StEzSk5KukjQ17ttf0p1x31JJJ5Zc50RJj8V9d0jaP26fKumaeK1lki6UlB5pfS9+ZiWfWPocy3tzAKzozfHpx57n+pXrRvNtcM45YAwDsKRHgCWEdbOKTgIOAw4GDgQ6gLPivsXAzWa2L/BO4GJJCyUtBL4OHBP33R6PJZ7bHq91MHBELGNEvvPCGrJlyeK6C8a/P/XiSC/pnHN9xiwAm9lLzWwOYbnuoqOBq8xsi5llgSuAoyS1A4cAl8ZzHwfuBN4KHAncZmbL4jUuAQ6J5xwNXG5mWTPbAlwNHDXSOq/K5ipuX96THeklnXOuT6MH4dqB0mW7lxNWE2gHus1sU5V9feeY2XqgO26vdr1BJJ0qaYmkJV1dXRUrN7+1chf5/LaWau/HOecSa3QABigkeD7SfeXH9TGzy81skZkt6ugYdIs2AJ/fZx4tGritTXDm3nOrXdY55xJrdADeAMwped0Zt20EpkiaUmHfgHMkTQOmVtpXcs6IHLvbLP5x/hymp8O3aXo6xUf32NVnQTjnaqLR09BuAU6WdBWQBU4jDLytl3Q/cDpwgaR9CP2/58bzzpa0j5k9GY+518w2SLoFOE3SbUALYQDuitFU8F2dM5me6Z9IcdC0yaO5nHPO9Wl0AL4cWAg8FF/fR1hlFuB44NuSTomvP2VmjwBIOgO4UZIBq4ET4jFfitd8NL6+iVEG4I6yfuDVvZUH5pxzbrjGPACb2RElz/PAx6sc9zjwhir7rgSurLB9K2E58JrpaB044LauN0euYGRSqnKGc84l0+g+4J3e5HSKXUq6IAoYa6tMT3POueHwAJxAZ1kruKvX5wE750bPA3AC3g/snKsHD8AJlPcDd3kAds7VgAfgBAa3gLOYWZWjnXMuGQ/ACczMpGlV/7dqe6HAlnzVm+yccy4RD8AJSGJOhVawc86NhgfghHwgzjlXax6AExo8Fc0DsHNudDwAJ1RpIM4550bDA3BCHa0ZRP/txxuyeXoLPhDnnBs5D8AJtaZStLf035JsGGu8G8I5NwoegIehvBuiy3NCOOdGwQPwMHS0DByIW+1rwznnRsED8DB0tnkL2DlXOx6Ah6GjZWAAXtOb81uSnXMj5gF4GHbJpJmU6v+W9RQKbMzlG1gj59x45gF4GCT5HXHOuZrxADxM5akp/YYM59xIeQAeps7Wwf3Azjk3Eh6Ah8lbwM65WvEAPExzWjKkSm5J3pjLs91zAzvnRsAD8DBlUmJmyS3J4POBnXMj4wF4BHyVZOdcLXgAHoFBOSF8IM45NwIegEfAk7M752rBA/AIlE9F6+rNUvBbkp1zw+QBeASmZtJMSfcPxOXMWJf1W5Kdc8PjAXiEKrWCnXNuOHaKACzpZEmPS3pU0u8lvUbSVEnXSHpS0jJJF0pKx+NfJ+m+uP0hSUeXXOtzcfsyST+VtGs96uwDcc650Wp4AJY0H/g68GYzWwh8B7gEOAtoBw4EDgaOAE6SlAF+DHzVzPYFTgf+W9IsSW+Nrw8F9gNWAxfWo94+Fc05N1oND8DAdmArMEWSgNnAcuBo4HIzy5rZFuBq4CjgZcBk4EcAZvY74Cng8HjOdWa22kKi3kvjOTXnWdGcc6OVOABLOlLSwfH5JyX9SdL3JU0dTQXMbC1wPvAo0AV8Efg3Qut3Vcmhy4GZcXsxwFbaV35Oe5X3c6qkJZKWdHV1Dbves1oypNV/S/KWfJ5tfkuyc24YEgVgSZ8Cfg7sLWkR8FXgLuDl8fmISXoj8Jl4rU7gn4FbgKlAaUSr9nyofVUjopldbmaLzGxRR0fHsOudlpjd4gNxzrmRS9oCPg34v2b2E+DvgF+b2ccI/a3vGmUd/gq42cweNrOCmV0Z6zUDmFNyXCewIT7mlF2j2r5OYOMo61fV4JkQ3g3hnEsuaQDeHfh9fP43wC/i81VU+Yg/DEuANxRnK0g6itBy/RZwmqSMpMnAScDNwMNAXtK74/GHEAbq7ia0nN8vaXbsT/6neE5dlA/EeWpK59xwZHZ8CAAvAC+TZMDrgFPi9kOBZ0dTATO7Q9LXgN/EGQ4bgL8F/gBcTugbBrgJuMLM8pKOBb4l6StADjgu9iXfJOky4B7AgCcIgbsu5vhAnHNuFJIG4CuAHwK9wO/N7FFJHwEuIEwXGxUz+wbwjQq7PlDl+HuA11TZdx5w3mjrlER5C3hdNkfebMDgnHPOVZMoAJvZ+ZKeB3YlTAcD2AScZmbX1KtyO7vJ6RTT02k258NtyHkz1vbm6Gxr2cGZzjmXvAWMmX1/qNcTVWdbC5u39eeB6Mp6AHbOJZN0Gto+km6WtEbStvJHvSu5M+som4q2uscH4pxzySRtAS8mTAv7V2BCB9xyHW1lU9F8eSLnXEJJA/BrgcPM7P56VmY86mgpm4rWk8XMkA/EOed2IOk84BVAaz0rMl7NbEnTUhJsuwsFtvotyc65BJIG4C8BX5E0/Ht2m1xKomPQDRneDeGc27GkXRAfBl4KLJf0HGE+cB8zO6jWFRtPOlozrOjp/5as7s2y95S2BtbIOTceJA3At8WHq6C8Bew5IZxzSSS9EePceldkPBucG9inojnndmw4+YDfJOkOSVvi405Jb6pn5caL8gC8PpsnW/BVkp1zQ0t6I8brCVnFtgKfjY/NwM2SDqtf9caHtlSK9kx/EDaMNVlvBTvnhpa0D/hC4GIzO6Nk27ckXUBYz61iYpyJpKM1w4Zcf99vV2+OuW0+c885V13SLohX0J+Ep9Q1hNkRE56vEeecG66kAXgjsKDC9t0JWdEmPF8l2Tk3XEkD8PeBr0t6VXFDXKDza4Q8wRNepeWJBq4b6pxzAyUNwGcCTwJLJK2WtAp4gLAaxmfrVbnxZJdMmkmp/m9nT6HAxlx+iDOccxNd0nnA24EjJR0OvDJu/pOZ3V23mo0zkpjTmuGF7f13xHX15mhvSZxy2Tk3wQwrOsSA60G3io7WlgEBeHVvlv2mTmpgjZxzO7OqATgmWj/AzJ6X1E1Y5LIiM5tSj8qNN75MvXNuOIZqAZ8GrC157iNKO1A+Fc0DsHNuKFUDsJldVfLyDmC5mQ0YVZKUBubXqW7jzpyWFoSw+L9qQy5HT6FAWyrxHd/OuQkkaWR4GphXYfsecZ8DWlJiZkt6wDZvBTvnqhlyEE7SlcWnwFclbSk7ZAEhJ4SLOltbWJcdeEvygkl+S7JzbrAdzYKYG78a0AlML9u/DTi91pUazzpbMyzd2v/a74hzzlUzZAA2s6MAJBWAE8zsuTGp1Tjmydmdc0kl6gM2s1Sl4CtpXkk3haPSVLQsBb8l2TlXQaIbMSTtD3ybMOOhdL31afEaH6591canqekUk1MpugthZeSsGeuzeWa3+h1xzrmBks6C+K947HeAXYErgF8Bk4D31qdq45MkOtvKuiE8ObtzroKkAXgR8HEzO49wK/JNZvYx4Gzg+NFWQtKrJN0r6XFJf5J0qKS0pIskLZP0pKSrJE2Nx+8fl0RaJmmppBNLrnWipMfivjti631MdZTlf+jq8X5g59xgSQOwEWY8ADwCHBCf3wq8fTQVkNQC/AK40Mz2B75AaGmfBBwGHAwcCHQAZ8XTFgM3m9m+wDuBiyUtlLSQsELHMXHf7fHYMTW4BewB2Dk3WNIA/EfgxBgs/wS8I26fC6SrnZTQW4A1ZlbMK/wr4D3AMcBVZrbFzLKEbo+jJLUDhwCXApjZ48CdwFuBI4HbzGxZvNYlwCHxnDFT3gJe3eNdEM65wZIG4LOBjwHnAz8jBMIHCcnYbx1lHQ4Anpb0A0nLgLuA2cAMYFXJccuBmUA70G1mm6rs6zvHzNYD3XH7AJJOlbRE0pKurq5RvoWBZrdmSKt/rHJzPk93vlDTMpxz41/SaWh3AgcBV5rZRuANhI/3FwL/OMo6TAGOIrRo9wPOA24g3PRRGrWqPR/Ovj5mdrmZLTKzRR0dHSOpd1VpidnlrWC/IcM5VybpsvQnAF1m9jCAmT1iZv8CXAQcO8o6rAAeNrO7LLiRsM7cSmBOyXGdwAbC+nRTJE2psG9D6TmSpgFT4/YxVZ4ZbY3fkOGcK5O0C+K7hG6BcgvivtH4FbCPpJcCSHodofX7O+BkSZMlZQgpMW+O3Qr3E2+BlrQPof/31/FxZNxGPOZeM9swyjoOW/kind4Cds6V21EynqcJMyAE/F5SeTNuBvD8aCpgZqslnQzcEAPtFuDdhL7gucBD8dD7gC/H58cD35Z0Snz9KTN7JNb5DOBGSQasBk4YTf1Gypepd87tyI5uz7qMEHzPI6yMvL5sfw+jH4TDzK4Hrq+w6+NVjn+c0A9dad+VQMNvjy7PCbE2myNvNmBwzjk3se0oGc/5AJKOBL5mZqvHpFZNYEo6xbR0mi35kMM+b8a6bG5QYHbOTVxJExR8FthT0p6VdprZfTWrURPpbM2wpbt/EZGuXg/Azrl+SQPwPfT3BReVpvga7c0YTamjtYWnunv6Xq/uzXIQkxtYI+fcziRpAN6r7HUbIT/E54CP1rRGTcQX6XTODSVRADazZytsfjwuV38B8Nqa1qpJDJ6K5gHYOddvtMv1Pg68rBYVaUYzW9K0lMx62JbPszWXH+IM59xEkjQhe2eFzVOAfwF8maIqUhJzWlt4sae3b9vq3hx7ZbzL3DmXvA94JQMH3Yq2U4N8wM2sozVTFoCz7DWlrYE1cs7tLJIG4DdW2NYNPBaT87gqfCDOOVdN0kG439a7Is2qfN6v54RwzhUl7QPeD/h/wP4MnAsMgJkdVON6NY3y5Ozrs3lyBSOT8luSnZvoknZBfAfYHbgO2Fq/6jSfSekUMzJpNsbZDwWMNdkcu7X5HXHOTXRJA/BrgDeb2f/WszLNqrO1pS8AA3T1Zj0AO+cSzwNeUddaNDlPTemcqyRpC/gs4AJJHwdeoGxKmmdJG1r5QFyXD8Q550gegLuBlxKSopcSIRj7nQVD6KwwFc3MkOcGdm5CSxqAv0FYIuhbwLb6Vac5zcikaUul6CmE9UG3FwpsyuWZ0ZL02++ca0ZJI0AncKaZ/bmelWlWkpjTmmH59v474rqyOQ/Azk1wSQfhbgf+qp4VaXbl84FX9/hAnHMTXdIm2I+A8yXtATzK4EG4H9W6Ys2ms60FNve/7sr6QJxzE13SAHxV/PrFCvuMEKDdEMpbwJ4TwjmXNBfEaPMGT3gdrS0IYfHDw4Zsnt5CgdaUf2udm6j8r3+MtKTEzJb+2XqGeSvYuQnOA/AYGnxDhgdg5yYyD8BjqPyGDE9N6dzE5gF4DHlydudcqcQBWFJG0rsknSWpQ9LrJE2uZ+WaTfkqyWviLcnOuYkpUQCWNA94ELga+BIwEzgbeFTS/vWrXnOZlk4xqWTWQ68VWO+rJDs3YSVtAV9MSEk5DyjeT/sO4E7gwjrUqylJGtQK9m4I5yaupAH4rcC5Zta3GoaZ5QnB9/W1qoykhZI2S9pTUlrSRZKWSXpS0lWSpsbj9pd0Z9y3VNKJJdc4UdJjcd8dO1sLfXA/sA/EOTdRJQ3ABaCnwvZZtaqIpOnAN+lvYZ8EHAYcDBwIdBDyEgMsBm42s32BdwIXx+C9EPg6cEzcd3s8dqdRKTWlc25iShqAfwV8Qv0JbC0GzHOBW0ZbiXjdy+P1ihkTjgauMrMtZpYFrgCOktQOHAJcCmBmjxO6Qt4KHAncZmbL4jUuAQ6J5+wUyrsgfCqacxNX0gD8SeAg4AmgFfg+8CyhT/jjNajHGcAfzOyukm3twKqS18sJg3/tQLeZbaqyr+8cM1tPSCbfXl6gpFMlLZG0pKurqwZvIZlZLRlSJQtLb8rl6c4Xxqx859zOI1EAjksOvY7QQr0MuIsQlF9qZquGOndHJB1B6Ee+oMLuQoLnw9nXx8wuN7NFZraoo6MjWWVrIJMSs70f2DlH8mxoxUG3a+Kjlt4NvBL4S+zhmE/ou30GmFNyXCewAdgITJE0xcy2lewrdjscWDxB0jRgajxvp9HRmhkQdLt6c+wxua2BNXLONULSecDdkrZVe4ymAmb2UTPb28wONLMDCd0JbwJ+DJwsabKkDHAaYeBtPXA/cHqs2z6E/t9fx8eRcRvxmHvNbMNo6lhrPhXNOQfJW8CnMTAJexuwiDAX+HO1rlR0ObAQeCi+vg/4cnx+PPBtSafE158ys0cAJJ0B3CjJgNXACXWq34gNXqbeuyCcm4iS5gNeXGHz5XGZ+nfRn7B91Mxsz5KXFQf44syHN1TZdyVwZa3qUw/lAXhtNkfBjJSvkuzchDLaZDy3Ez7+u2GYmk4zNd2fGzhnxtqsd0M4N9GMNgC/iZ1sgGu8KL8hY433Azs34STqgpA0aCFOYAqwO3BerSs1EXS2tvB0d//Nhat7cyxsYH2cc2Mv6SDcfzM4AHcDD5rZbbWt0sTgOSGcc0kH4c6pcz0mnPLliVZ7F4RzE07SLohKy9FXZGZfGnl1Jo5ZLWkyErmYkH1rPs/WXJ6pmfQOznTONYukXRDvAfYDWgj5IATsC+SAp0qOM0LCdrcDKYk5rRlW9pTcEZfNeQB2bgJJOgviQuBJ4IB4x9oBhIC8FPiumS2Mj4PqVdFm1NFS1g3R4/3Azk0kSQPw54HTS9I8YmZPAR+lNtnQJqRBuYF9LrBzE0rSALyAcFtvuW4GJsxxwzBn0C3JHoCdm0iSBuBHCPkgyp0O/Ll21ZlYypPyrOvNkSv4KsnOTRRJB+E+Dtwp6a+B4rzftwAvo0pOBrdjk9IpZmTSbIwrIxcItyTv2taygzOdc80gaUL23wOvBv4CvI2w9M9DwMFmdn/9qtf8yucD+w0Zzk0cw0nI/jBwYv2qMjF1tGZYVpJR2fuBnZs4qgZgSZcAZ5nZ+vi8KjM7veY1myAGt4A9ADs3UQzVAl5IuPGi+NzVQflUtNW9WcwMeW5g55pe1QBsZm+s9NzVVnsmTatS9FpYO3R7ocDmfIFd/I4455pe4j5gSbsTFs+cUrbLzOy6mtZqApFER2uG5T29fdu6erMegJ2bAJIm4/kQ8G2gUlQwwAPwKJQH4NW9OfYp/zfnnGs6SW/EOA/4BjDVzFJlD2+qjZIPxDk3MSUNwLOBb5tZdz0rM1FVGohzzjW/pAH4HsKNGK4O5rRmEP2zHjZk8/QWCg2skXNuLCQdhDsf+IakOcASoLd0p5ndV+uKTSStqRTtLWnWx2xohrGmN8e8Sa0Nrplzrp6SBuBfxa9fq7DPqDw454ahozXTF4AhpKb0AOxcc0sagPeqay0cna0tPL51e9/r1T1ZmN7ACjnn6i7popzP1rsiE93gVZJ9JoRzzW6oXBB3DHHeFuAB4L/MbGXNazUBlecG7urN+S3JzjW5oVrAj1XZLqCDkIz9dEmHmtmTNa/ZBDM9nWJSKsUfNm3l7vVb2JwvcNXyLs7aZx7H7jar0dVzztXBULkgKq2A0UfSDOBGwirIH6hxvSYcSTzb3cOtazZR7HxY0Zvj0489D+BB2LkmlHQe8CBmthH4CvDm0VZC0gckPSJpmaTbJe0nKS3porjtSUlXSZoaj99f0p1x31JJJ5Zc60RJj8V9d0jaf7T1Gys3r9lIec9vd8E478kVDamPc66+RhyAo2eAGaO5gKSFhOltRxOWur8duBI4CTgMOBg4kNDtcVY8bTFws5ntC7wTuFjSwnitrwPHxH23x2PHhTXZfMXty3tzvNjTW3Gfc278Gm0Afgnw/CivcSCw2MyeNTMjdGvsSwjIV5nZFjPLAlcAR0lqBw4BLgUws8eBO4G3EpZKus3MlsVrXwIcEs/Z6S2oshbc9HSK769Yx70btlAwX7TTuWYx4gAsKQOcAfzvaCpgZjeY2WfjNdPAPwO/ANqBVSWHLgdmxu3dZrapyr6+c8xsPdAdt5fX/1RJSyQt6erqGs1bqJkz957L5NTAWQ8Z4PCZ0yhg3LV+M9etXM/mXOWWsnNufBlqGtpnqu0COoGjCC3gg2tREUkvJbRYnyfMsLgJKE2IUO35cPb1MbPLgcsBFi1atFM0K4sDbf/+1Iu80JNldibN69qnsnDa5L5jntvew+Llazhyzgz2nzqpUVV1ztXAUNPQhpoFsZUwD/g4M3titJWQdCrwCeBTZnZz3LYBmFNyWCewAdgITJE0xcy2lewrdjscWHLdacDUeN64cOxuswbMeHhi63ZuWbOR7pLkPNsLBX62ej2vnD6FI2ZNpzU12p4k51wjDDUNbUxuP5b0WuCTwCFmtqFk1y3AyZKuArKEfwg3x0VC7ye0ki+QtA+h//fceN7ZkvaJc5NPB+4tu+64st/UScxta+HGNRt5trtnwL4/bd7G89t7eXtHO7tW6T92zu28Ei9JVEfvBXYD7im562s5IaguBB6K2+4DvhyfHw98W9Ip8fWnzOwRAElnADdKMmA1cELd30GdTcukec+uM7l/41Z+t2EL+ZKBuHXZHNe+uJbDZ05n0S5T/M4558YRmY+qs2jRIluyZEmjq5HIyp4sv+zaMCBzWtGek9s4as4Mpvl6cs7tVCQ9YGaLyrd75+E4s1tbCyfMm80rpg9eNO6Z7jBAt2zb9gpnOud2Nh6Ax6HWVIoj58zgnZ0zmVQ2ANddKHDDqvX8es1GsgX/dOPczswD8Dh2wNRJfGj+HHavkLj9j5u3cc2KNXT5+nLO7bQ8AI9zu2TSvHe3WRw+czopBg7Arc3m+N6KtTy4cSve1+/czscDcBNISfx1+zTeP28WM1sGTmzJmXH7uk38ZNV6tvoddM7tVDwAN5G5ba0cP282Lyu5c67oqe4eFq9Yy1Pbeiqc6ZxrBA/ATaYtleKojnbe3tE+aIBuWz7P9avWccfaTeR8gM65hvMA3KQWTpvMCfNmM7/CAN0Dm7byvRfX+gCdcw3mAbiJzWjJ8A+7zeL17YMH6Lp6s3xvxVr+sGmbD9A51yA7w63Iro5SEofOnMZLJrfyq64NbCwZiPvz5m1c8txqNucLzG3N8Pm95/KeubMbWFvnJhZvAU8Q8ye1csK8OSycGgboHt3Sza1rNrE5H7Ksvdib45OPPc9nH3ue/1m/hWe7e+gtVMzk6ZyrEW8BTyCT0ine3tnO3lvauOL5rkHrz+UMfrJqPXNaw69FCtHZlmFeWyvzJ7Uwv62V6Z5nwrma8QA8AR00bTKb8pVbt5tLthcwVvZkWdmT5cG4/siMTDoG5Fbmt7UwpzVDyjOwOTciHoAnqAVtLbzQM3gWxPT00L1SG3N5Nua6eXRrNxCmvc1tC63j+ZNamNvW4gninUvIA/AEdebec/n0Y8/TXTIfeJLg9N07OXDaJJb3ZCumvCzXUyjwTHcPz8Rk8SlER2uG+ZNamdfWwoJJ3m3hXDUegCeo0vXnlvdkmd/Wwpl7zx2wHNLWfJ4V27Ms7+llxfYsK3uzA5LBV1LAWNWbZVVvlgfjtmK3xeNbu7lmxVpe7M2xoEJ5zk00npCd8ZWQvZFyBWNlb5bl23tZ0RO+diecKVGcdVHapm4RnLygg2M62pmRSdPekmaXTJo278JwTaZaQnZvAbvEMimxYFIrC+LddWbGumy+r4X8Qk9v1W6Lu9dvGTTrImvwvRVrmVLW7zw5laK9JROCcibNjJZ03/PpmbQP+rmm4QHYjZgkZrdmmN2a4RXTw7Zit0WxhVzstticYNZFUXehQHdPLy9WyBuUQuwSg3J7JgTm8DzDLpk0k1PydfHcuOEB2NXU1HSa/aam2W/qJKC/2+Lq5Wvoyg5Oh7mjWRflChgbcjk25HI8W2F/WyoVgnImzcObt/GjletYnc2zW2uGT7xkV9692ywmpVJkUh6kXeN5AHZ1Vey2OGff+YNmXbQJTlnQwSunT4nT2/JszOYpMPJxiZ5CgdW9BX67btOAPueVvTm+8MRy7lq/mYXTJtMiMTmdYlIqPtJicirF5FSKSekUk1KK21Nxu5iUTpH21rWrIQ/AbkwkmXUBUDBjczEYx8eGbPyay7MtnyypfKU+51zcvnDaZLJmZHN5NjG8JPWtSjE53R+cQwAXSzZu5QcvrqUrm2fXlgyn79HJO3dtp1Up2lKiNSVa5N0jbiAPwG7MHLvbrB1OO0tJzGjJMKOl8q9mb6EwoLW8oS9I59iUy5ONs3qG0+c8HL1WoDcHG0sCd/kMj1XZHF9+cgX3bgzBvkioLxi3plK0qeR5SrTG122pFC3xdVsqFbcV94djb1i1fof/zNzOzwOwG1daUyk6WlN0tLYM2mdmbMsX2JDLc83ytayuMCNjRjpFCo2qm6PcjlrbffXD2F4wtheAYba8Sz26pZtb124iF9/CCz1ZPrH0Oe7duJVD26fRElvbLRItKZFRCN6ZVP+20v3l2yq10q9fuc4Dfh14AHZNQxJTM2mmZtKcve+8QX3Ok1PivP0X8Pe7zqTXjO58IQbEQt/z8LX4CK+7CwW2x/1WIXDXq7Vdzd3rt/QF36KswQ2r1tPROvo/6RbFoB2D98Obu7lu1TqyJQH/k0uf48+bt3H4rF1IC9KIlCAtxUd8TviaitsyEikGHpeiZF/c9rNV6zn/qRdZ0Ztr6oDvAdg1pR31ObfFj/fDYWb0FCwE5EKB7fkQvK9ZvobVFWZ4tGdSzGzJ0FsweguFvu6R0ap3wM+akTWjO17uF10b+oJvUa/BtS+uY2odbjMv79J5oSfLPy99jtvWbuJVu0ypEORFplLwj/8AQmAPX9Nlz9OC29ds4ooXuljZm2O31gz/tEcnx3S0k5IQkFLoPio+TxH+2YevYV+q5LjSY3bEA7BrWkn6nIdDEpPSYTZEqbMrzPCYnBL/tt+CAeXnzfqCcW8M5r0Foye+7nte3G4lz4vbzdglnaqYzW64U/qSakgLv2xbzuC2tZvYe0pbTcsqD/Yre3Ocu2wF/7thYPfRSKViQK7GA7Bzo5R0hkdaYnI6TH8bjXmtGT792PNsL2mVtgk+teeu/J/ZM8jFYJ4zI1uwvhZttlAga8SvRs7CoOaA4yu00qenUxWDbTME/KT99yNVwBhq/VsPwM7VQK1b20N599zZSKrLoJj1Bev+wD0zk+bLT66gpyzgn7Z7B0fM2oU8oXWfsxBs8mbkCVMK8zHQ580oxOPyxeMo2WdGPj4fyxb+WLfuyzVlAJZ0InAmkAaeAz5iZo83tFLO1VC9Ar5UnO7Wv+3k3TuZ2ZIZs1kQc9taKqZKPXufeby9s70vUBcDeCEG/77t8R9AvhC+5orbrOwfBcasTJp1uUr992l2bW3BgALhH1P4GmazFCxuJ5RvcV+hb1+y/v6mC8CSFgJfB15jZssknQUsBg5taMWcG8fGsoWftEunFrbnC1X67+ePurzSoP2ZKsc0XQAGjgRuM7Nl8fUlwFcktZvZhsZVyzmX1FgF/HoGe8VZGEywQbh2YFXxhZmtl9Qdt28obpd0KnAqwB577DGmFXTO7TzGsnVfrlkzX5f3oA/qUTezy81skZkt6ujoGKNqOedcv2YMwBuAOcUXkqYBUylp/Trn3M6gGQPwr4EjJe0TX58O3Ov9v865nU3T9QGb2SOSzgBulGTAauCEBlfLOecGaboADGBmVwJXNroezjk3lGbsgnDOuXHBA7BzzjWIB2DnnGsQD8DOOdcgsholiR7PJHVBxVXOS80B1oxBdRpRXjO/t7Eur5nfW7OXV8+yXmJmg+748gCckKQlZraoGctr5vc21uU183tr9vLG+r2Bd0E451zDeAB2zrkG8QCc3OVNXF4zv7exLq+Z31uzlzfW7837gJ1zrlG8Beyccw3iAdg55xrEA3BCku6S9Lk6lzFZ0sWS1kraKOlGSS+vU1mdkq6XtE3SKknflTS7HmVVKPvlknokHVHHMv5OklV41C0BlaTjJP1F0nZJj0p6d53KOaLKezNJi+tQ3mRJ/ynphfjebo9rL9aFpHmSfiBpi6TVkm6QtKAO5Qz6m5b0NkkPS8rG93uGpLrFSQ/AQ1AwV9J/AIePQZGLgaOBvwfeQlhN6tZaB0ZJAn4CLIjlvA94HfDdWpZTpew24Gqgtc5FHQT8Atir7DF4CdwaiMH2WsIahK8BfgD8QNJL61DcPQx+X68BVgJX1aG884HjgdMIvycbgVskTal1QfH343agA3grcBywL/BLSekaXL/q37SkVwK/BO4AXgv8G/DvwEdGW25VZuaPKg/gGsLK08XH5+pY1u6xjDeWbJsO9AIn1bisl8eyFpZs+/u4rb3O39P/JPxBG3BEHcv5HvClMfo9EfAE8PWybb8CPjwG5aeAnwNfqNP1NwL/UvJ6t/Lf1RqW9QEgB+xasq34+/rmGly/6t80cBnwF+LkhJJtj9brZ+ct4KF9FlgYHyvqXNbuhNuh7y3ZtgXYTu1bi7sQWhlLS7YVW4ajbmVUE7sc3gacXa8yShzEwPdXT/sQWmnXFjdYcIyF3NT1diIhSP2/Ol2/APSUvM7Gr211KOslwAozW1Wy7WHC38Hra3D9of6m/wq43WLkje4ADoxLm9WcB+AhmNkKM1tqZkvp/6WrV1n/Y2Z7mtm2ks1HE1rB91Y5baRl/d7M3mxmFj+S7QV8Afipma2tZVlFkmYA3wFONLPt9SijpKwUcABwuKTHYx/3zyUdWKci94xfd5F0j6RNsQ/47+tUXh9Jk4Fzga+YWW+dilkMfFTSviXlPQv8tg5lPQfsKmmXkm27A5MILe9R2cHf9GxKVlSPVpTsqzkPwDspSUcT+hGvMLMH61jUncBThFbcV+pYzjeB75nZA3Uso2gPYArhj/aDwIcIf0C/kVSP9ceLSVaKK7G8BfgZcL2kN9ehvFKnxq9X17GM/yCsnvMEsI2wzuJnzKy7DmXdBHQDV0iaLWkecAX1+SRYSa7Ka9WjsKZckmg8ix91LgBOIfSV/mudizyZEEBOB+6W9Foze7iWBUh6D/Ay4KRaXncIK4DdSj/GSrqH0Gr7MOH7W0vFltTXzKx4N9W9kg4GPgrcVuPySn0I+G8zq8sntNji/S0hS9g/AeuA9xMGGDeb2U21LM/M1kr6O0Krew2ha+xiwj/UTbUsq4ryQFuXwFvkAXgnEqfa3Eboc3u9md1Tp3IOBCaZ2R/NbBmwTNJ9wBsIgyBn1rjIYwh9lJvCBIw+t0q6ysxOqWVh8aP4qrJtGyQ9Qfg4W2td8Wv5J5WHgLq1gCXtB7yK8M+zXt5C6M5ZYGbL47Z74+yOUwkt1poyszsl7U34WW2IP7tngf+udVll1gKdZdt2K9lXc94FsZOI/ZY/IXQHLKpX8I0+DNxQNq2ndGS41s4ktIAPLnlAaH1/sdaFSfqEpKdL5/xKmg7sT/gYXWt/IAxSvaxs+ysIP896OZrQIr2vjmUUv4fVPprXlKT9JP0OmG1mz8Tg+zJCt9Kd9SizxAPAEWXzfg8FnjCzzfUo0FvAO48jgUXAIUBnWUtxjZltqWFZ3wU+Dlwu6VuEmQ//TOgnrfk8UjN7EXixdFt8f8/FfbV2A3AOcLWkrxJ+z79ICJI/qnVhZrZJ0qXAlyVtIrR8jyXMY31Lrcsr8XLgz2ZWqGMZtxMGxq6T9EVCS/A9hPd2VB3KexqYByyO5bUB3wJuMrNH6lBeqcsIjZP/kHQV4dPFx4B/qVeB3gLeeRxK6G+6h/BLWPqo6R1VZvYo4Y9nf0Kr4mbCagBvMrPHallWI5jZs4TAtyvh/f2aMIizyMxW16nYzxBmeVwALAH+DjjWzG6vU3kQ+u5X1vH6mNlGQjfKCuCHhBk5xxDe2y11KC9HaNlDCP43EqahfbDWZVUo+0Hgbwm/O0sIc9bPJvwDqAvPhuaccw3iLWDnnGsQD8DOOdcgHoCdc65BPAA751yDeAB2zrkG8QDsnHMN4gHYDSIpHVc+mCFp15jdq+I98ZJOrLAqw3ZJD0l63yjrYZL+YTTXaBRJ50iqmg4zft+GlRVO0uL4PflSlf17FX8Gw63vaEl6pnx1CbdjHoBdJQuAzXES/r7Akzb0hPFe+ldm2Bs4jJDA5YeSDk1SoKR/qBA49iKsalETkpZKOqdW19uBi4A3lZR9s2qzXJABH6zyD3FENyvEf5gnDuP4v46Bfs+SzYcBl46k/InMA3CTkjRdUssIT98PeLLC82os3rf/jJk9bWZLCLc6Pwq8Y4R1IF5v60jPbyQz21CSvKaW7iEkiBmQnDwG5OOBu+tQ5g6Z2QvxH7YbBg/AzeuvgBWSvi7pVUlPkrSGkEvhNfH5t4C3S/rDcAqPLeZu4qoJkmZJulLSSoUFOZ+QdGrct5iQ+7jY7XBOyfO+LghJ71dY9LI3nn9yyb7Fkq6V9HlJL8Yyfhm7UPaMresDgLOLLW2FtcGuk7RO0maFRRpfW+X78jmFxVJT8XWrwoKmPyw55rWSCrHMvi6IWN6RwIfKW46SjpX0WHxPD1Urv8Qm4KeEYFvqdYTE8AMyhkn6jaTLyrYtji3yI2Ld2oDvSnom7m+TdKGk52O9npP0r3HfOcD/xks9XWzVl3dBSDpc0pL4c+iK15tcst8kfVAhUX63pDWSap2Fb6fnAbhJmdkdhPSS3cDPJf1J0icllafbK3cwIRfrpfH5jYQVEI6uekYZSdMkfRR4NWFJFwjL9byCkNfi5fH1f0naF/g0ocUModvhogrX/Nu4/d/idb8KXCzpuJLDjiIsTvm3hKWPXgV8GXghXvcp4OvxOYTEQwsIwfH1wHLgZ6q8Cu5PgVn0Z3J7Tfz6NyXdAW8G7ilbTqf4nu4Cro/PX4jbW4Gz4nt/LSHRzfcqlF3uauC9CgtYFh1PWFByOGkTi4t79hISzhwWt19E+B7+I/BSQqL+Lykkl7+IsH4ghEUtP11+UUmHA78hvOe/JuSBfhdwU9n39j8J6VdfS8h9fV7SLqtm4QG4iZnZo2b2OcI6W2cQgsdjsdWxZ5VzXgCmAUvj83bgkR1kLWuL/YjbJfUAmwnrk32RsDAlwB+BT5rZ78zsccIqBwDzzWwNMaduMQVh6cVjgPsq8Fkzu9bMHjazy4DzgNKBnzzwQTO718zuJAT5RWaWM7NnCInTN8TnED7KryFkFHuIkDz9XGAyZeISNo/Rn93scEKrfTIhqRGEAPyzCuc+Q/hHuCW+v9JVFk4xs1vM7I+EgLSfBi7HU8lthMxub4/fn1bgHxjmqhhmtj3WzQgZ94r/GJ4CPmFmt5nZE4TsedsIP6sN9Ge2eyH+7MqdQ8he9ikz+4OZ/Rx4L/A3hEZB0Y/N7GIz+zMhiVEXISPghOEBeAKI6Qr/SMgb+zThl7x9iFPm099KK31eTZb+PL+vJLSqdjGzL5cM3n0eaJX0RUnfp/9jbJIVBzoIg3v/VRLotxMyVR2k/rzGfy5bJmcbYSWFaj5LyEL3oqTrCSs9/HiIfuef0p9g/XBC6/5uQit4CqEVPSgADyFP+LmU1pcd1LmYMexa+rship9ObhxG2UNd/z+BVZLOVEjL+EisU9LVIQ4mZNgrveYSQuu8tIvl/pL9xo5/Xk3HA3ATkzRZ0vsk/YIwkHYY4SPv7rHFVX788TGwvQX4cXy+ELhH0heGKKpQXOgwPkpbecVk8zcB3yAkEL+C4eXJLU7X+r8MTOr+8vgoGtailHE5nfnA+wgrKH8aeFxhpYlKfkpY6LMYbH9L+Kh9BOF7+0xsKSeVM7P8jg+r6BrgaEmzCYH4B8NYlHPI1YwlXQFcR/h+Xkt4rz1DnVNBkqlw9VpEdNzwANyk4mDOSsLH6p8De5jZcWZ20xB/9D8nDN7lCS2Vo4ANhL7by6qck8RBhH7W95vZN2P3QOJlvs1sE2E9tz1KAz2hH/aTIw1ikr4JHGhmt5rZWYRBOgPeWeWU+4D1hH8E6+NH9t8SPlpX7H6ooz8RukQ+QuiKqNb90E1JqzL+M6w6KKuwcshJwMfM7KtmdmvcNZwFMf9E+HmXXvfVhIT/91c8Y4LyANy8XgBebWaHm9kVSaYIxWN6gBdjC1mEvuClVfr6kiqW/W5JB0o6hv4+4P1iF0IPhD9USe0VrvEV4Mw4kPjyOCh3IfDnYdSjB9hLUnEQ7iDgUkl/I2l/wnp4M4G/VDo5duX8jNDvXFyS/Y+EfyYnMHQA7gEWSNpbJUsljVT8yH41ob/1aaoHtgeBd0o6WmE2zKUMXvesB9hf0u6ETxvbgXdIWijpjYTBwzzwEkmT6G8Nv0LSnAplnkuYOXOBpIMlvYOwEsnd1Gcp+3HLA3DzegVhsc3yu9SKj7dVOe8AQsuq/PmImdnzhJb4CYSAdTbh4/7vCYMvk4H/IXQDLAE+UeEy3yG0PE8nrN31NcKg1XBWK7iWsJxOcZ224+LzHxMC+SeBk2zolX5/Sghgv43vLUcILCnCrIJqfkT4dPEkYeZFLXw/lnvNEDfKXEBYEeT7hMG7TQxedupqwiDt3RZWV/4QYbDsj4Ruo2/G+n+WMKC7lPBeb6DCCtNm9lvCTSj/h/Cp4buELqi31Xn5pHHHV8RoUnHmQHqIQ/I7uLvNOVdnHoCdc65BvAvCOecaxAOwc841iAdg55xrEA/AzjnXIB6AnXOuQTwAO+dcg3gAds65Bvn/x4hgyRpp0rEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "c_list = [plt.cm.Blues(0.6), plt.cm.Purples(0.6), 'tab:cyan', 'tab:pink', 'tab:orange']\n",
    "frame = [snp_rec, del_rec, ins_rec, dnp_rec, onp_rec]\n",
    "title_list = ['SNP', 'DEL', 'INS', 'DNP', 'ONP']\n",
    "for idx, val in enumerate(frame):\n",
    "    g = np.array(val['num_occur'])\n",
    "    unique, counts = np.unique(g, return_counts=True)\n",
    "    cum_sum = [sum(counts[i:]) for i in range(len(counts))] \n",
    "\n",
    "    plt.figure(figsize=(5,4))\n",
    "    plt.plot(unique, cum_sum, linewidth=4, alpha=0.5, c=c_list[idx])\n",
    "    plt.scatter(unique, cum_sum, c=c_list[idx])\n",
    "    plt.xlabel('≥ # Patients with Mutation', fontsize=15)\n",
    "    plt.ylabel('Unique mutations', fontsize=15)\n",
    "    plt.xlim(0.7,10.8)\n",
    "    plt.xticks(range(1,11),fontsize=15)\n",
    "    plt.yticks(fontsize=12)\n",
    "    plt.title(title_list[idx], fontsize=15)\n",
    "    \n",
    "    \n",
    "\n",
    "    plt.tight_layout()\n",
    "         "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n",
      "*c* argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with *x* & *y*.  Please use the *color* keyword-argument or provide a 2D array with a single row if you intend to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAA3uUlEQVR4nO3de3yU1b3v8c8vF5IQIFxCAgkkAUHcXlCSYYuAKFiUFrD0VD1qLApidk8x2lrp5dDt7QjaetnWIO6DbrBKWqt4PEeIF6wgCEglBMULghpIgARCCHdyzzp/zMWZzCQkmUmemczv/Xrl5cyaNQ+/wZBvnvWsZy0xxqCUUkoFmwirC1BKKaV80YBSSikVlDSglFJKBSUNKKWUUkFJA0oppVRQ0oBSSikVlDSgVNgTkTQRaRKRXc3arxIRIyLJjud7ReS3LRwj3dH3jIj0aqHPCkefBwP/KVomIreLSHVX/plKBYIGlFJwB7AfuEBErvDzWLHAf2veKCJxwE+Bdt14KCK/FZG97XzPOyKywq1pFTCqPcdQKhhoQKmwJiIC3A78b2A7MMfPQ34A/MxH+yzgNPCdn8dvN2PMGWNMaVf/uUr5SwNKhburgOHAG8D/AW4WkZ5+HO8VYIqIpDZrnw3kAw3OhuZDiI4251Dh5SKyHngcyHC03e7oM1lEPhKRkyJyWkQ+FJELHK8ZYBpwh+M96c2H+EQkVkSeFpHDIlIjIttEZILb6w86jj/HMaxZ63g+wq3Pb0TkW8f7vxGR+/z4O1PKJw0oFe7mAF8YY3ZjD6je2IfiOmoP8Alwq7NBRAYBU7GHV3vcDPwROABkAKtEJAMoALYCVwBXA9HAi473ZAAbsA/rZTje29z/BX4MzAPGARuBD0VknFufi7CfWc4GrgQSgOccn+cnwP8CfguMBhYDj4vItHZ+PqVaFWV1AUpZRUScYfQkgDHma8dEibm0P0zcvQL8HHjC8fxW4HNjzE77iGLbGGMOi8gxoMEYU+KoeTiwDPiDMabW0fY29rDBGFPiOFs67fYe1zFFZCJwHWAzxmx3NH8qIucDD2E/+wJ7UP93Y8xhx/ueBx51vJYO1AM7jTHfAHtE5CRwuM0fTqk20DMoFc5uAuKxD+85/R/gKkcQdNTfgVEicqnj+c+Al/04nosx5nPsQfLfReQpEXkPWAi0NfkuAyrdwsnpXSDL7XmpM5wczgLOoc9XsF+v2yUim0RkEVBijNnRrg+j1DloQKlw5pwQsdNxvcbw/Q/7Ozp6UGPMUeBt4GcicjFwCfC3Nr49prUXHccrxn6mUwj8nu/PbNpCaNtMwrqWXjDGHDXGXIV9eO/vwFjgE70OpQJNh/hUWBKRkcAE4GHgzWYvL8N+/eUDP/6Il7FfsxHgPWPMIR99nBMX3CdlZPno5+4O7Gc37te42jPz8FNgoIiMaXbGcy1Q1JYDiMitQB9jzH8CXwF5IpLnqO3pdtSiVKs0oFS4mgOcAp4yxpxyf8Hxw/YV7BMQOqoA+8SFXHxPOwfYDZwBHhKRPwEjsZ8RuasFEkRkFPYJD8eBNBGZCpRjn3xxB1AvIumO6061wBARGQZ4TC83xnwkIv8AXhORX2G//+s2YDowqY2fLRJ4UkRqgC1AEva/qy/b+H6l2kSH+FTYEZEI7LPTXmoeTg6vA0fwI6CMMXXYh7+qgbda6HMC+5naOOzDdQuxB5q7tdiDdBdwA/BnYB3262YfAZnYJ3pEYD8bBHgN+7BbMTDExx/9Y+zXnFZgn3F4DTDFGLOljZ/tFeAP2MP0c+wzBj/GMVFDqUAR3VFXKaVUMNIzKKWUUkFJA0oppVRQ0oBSSikVlDSglFJKBaWQnmaemJhoMjIyrC5DKaWUH7Zv315pjBnYvD2kAyojI4PCwkKry1BKKeUHESnx1a5DfEoppYKSBpRSSqmgpAGllFIqKGlAKaWUCkqtBpSIxIvIqyKyUUQ+FpErROQGEflaRNY7vjIdffNEZKuIFIrIdEebzdG2WURWiUhMe/sqpZQKT+c6g7oT2GOMmQTkYF+ocgyQY4yZ7PgqEpHrgOHGmHHA9cBzjgU584BcY8wEoAyY156+gf+4SimlQsW5AuorYLnj8Unsy+yPAe52nOk8KSJR2FdUfh/AGFMGVABp2INom+P972JfYbk9fb2ISI7jzKvwyJEj5/yA+fn5ZGRkICIMGTKE/Pz8c75HKaWU9Vq9D8oY8w8AERmKfX+cB4DzgVexB8sr2M+yegBVbm89g31n0CYfbe3p66umZdg3lMNms7W6FPuKFSv4+c9/Tl2dfXPQgwcPctdddwGQnZ3d2luVUkpZ7JyTJETkduy7g96HfRvrF4wx5caYRiAf+5lOPRDr9rY47JumRfhoa09fvzz00EOucHKqrq5m4cKF/h5aKaVUJzvXJIlZ2Dcz+4ExptDR/zMR6evociX2XTSLHP0QkcHYd9jcD+x1TqLAvqV0YTv7+mX//v0+20tLS322K6WUCh7nWupoDvbrQ/8QEYC9wP3AWhE5C3wLPGiMqRWRGSKyCYjGPtmhUUTuBvJEpB6oBH7fnr7+fri0tDRKSrxX0EhLS/P30EoppTpZSO+oa7PZTGtr8eXn5zNv3jxqampcbT169GD58uV6DUoppYKEiGw3xtiat3frG3Wzs7N59tlnSUhIACAhIYEf//jH3HzzzRZXppRS6lxCejXztpg3bx4nT57k1KlTrrYjR44waNAgC6tSSil1Lt36DApAREhJSfFoO3jwoEXVKKWUaqtuH1AAqampHs81oJRSKvhpQCmllApKYRFQzYf4KioqvG7gVUopFVzCIqDi4uIYMGCA67kxhvLycgsrUkopdS5hEVCgw3xKKRVqNKCUUkoFJQ0opZRSQSlsAmrQoEFERHz/cY8fP86ZM2csrEgppVRrwiagoqKivFaP0LMopZQKXmETUKDDfEopFUo0oJRSSgWlsA6osrIyQnm7EaWU6s7CKqAGDBhATEyM6/nZs2c5fvy4dQUppZRqUbffbsNdREQEKSkp7N2719V28OBB+vXrZ2FVqjtJTEwkIyPD6jKUarN9+/ZRWVlpdRk+hVVAgX2Yr3lAXXzxxRZWpLqTjIwMWtvlWalgY7N5bWQbNMJqiA+8F47ViRKqs+Xn55ORkYGIkJGRQX5+vtUlKRUSwvIMyl15eTmNjY1ERkZaVJHqzvLz87nrrruorq4GoKSkhJycHACys7OtLE2poBd2Z1B9+vShV69eruf19fUcOXLEwopUd3bfffe5wsnp7NmzLFy40KKKlAodYRdQIqL3Q6kuU1FR4bO9tLS0iytRKvSEXUCB3rCruk5aWlq72pVS39OAQgNKdZ7Fixd73HsHEB0dzSOPPGJRRUqFjrAMKN0CXnWV7Oxsnn/+efr27QtAQkICM2bM0FsblGqDsJvFB99vAX/06FHg+y3g09PTLa5MdUdz5swhJSWFjz/+2NW2ZcsWxowZg4hYWJlSwS0sz6BAh/lU1xo3bpzHfmSVlZXs2bPHwoqUCn4aUA4aUKozJSQkeA3rbdmyxaJqlAoNGlAOGlCqs40fP97jeUlJCQcOHLCoGqWCX9gGlG4Br7raoEGDGD58uEebnkUp1bKwDShfW8CXlZVZVI0KFxMmTPB4vmvXLqqqqiyqRqngFrYBBTrMp7re8OHDSU5Odj03xrB161YLK1IqeGlAudGAUp1NRLyuRe3YsYOzZ89aVJFSwSusA8rX1hu6BbzqbBdffDF9+vRxPa+vr2fbtm0WVqRUcArrgEpMTKRHjx6u57oFfPewcuVKbrnlFgBWrVrFBRdcwOTJk5k8eTJFRUUA5ObmMm7cOGw2GwUFBQAUFhYybtw4JkyYwA033EBtbW2Lff0RGRnJuHHjPNo++eQT6uvr/T62Ut1JqwElIvEi8qqIbBSRj0XkChGxichWEdksIqtEJMbRN8/RXigi0x1tfvft1A/v2ALenQ7zha6qqiqysrJYsGCBq23Hjh0sW7aM9evXs379ejIzM3nvvfcoLi5m69atvPXWW8yfP5+mpiZyc3PJy8tj8+bNpKSk8OKLL7bY119ZWVkea/SdOXOGnTt3+n1cpbqTc51B3QnsMcZMAnKAPwN5QK4xZgJQBswTkeuA4caYccD1wHMiEuFv30B/WF/0OlT30b9/f7Zv386rr77qatuxYwdLlixhwoQJ3H///TQ0NFBUVMTUqVMB+zBvUlISpaWlFBcXM3bsWACmTZvGtm3bWuzrr5iYGLKysjzatmzZokPMSrk5V0B9BSx3PD4JRGIPF+eA+bvAWCATeB/AGFMGVABpAejrRURyHGdehYHYaFADqnubOnUqf/7zn9m4cSNlZWX813/9F3V1dcTFxbn6xMfHU1tb63FfnLOtpb7uli1bhs1mw2aztWvzy+bLHx09epTdu3d35GMq1S21GlDGmH8YY/aJyFDgFeABwH184wwQA/QAqn20+9vXV03LjDE2Y4xt4MCBrZXfJr62gA/EEI6ynjGGu+66i8GDBxMZGUl2djbbtm0jOjqampoaV7/q6mpiYmI8/r8721rq6y4nJ4fCwkIKCwtpz/dknz59uOSSSzza9MZdpb53zkkSInI78DJwnzGmoNl74oBaoB6I9dHub99O52sL+JZ2QVWhpampiUsvvdQ18eWjjz7ioosuIjMzkw8++ACw/0JSUVHB0KFDGTZsmGsSxdq1a7HZbC32DZTmU85LS0vZv39/wI6vVCg71ySJWcA1wA+MMYWO5r0ikul4fC1QCBQ5+iEig4EkYH8A+nY63QK++4qMjOTJJ5/k2muv5eqrr6ayspJf/OIXTJs2jbS0NCZOnMisWbPIy8sjMjKSJUuWkJuby9VXX01paSl33XVXi30DJTk5mfPOO8+jTc+ilLKT1i7Kisj/w3596LijaS+wFPtkiXqgEsg2xtSKyBLgMiAaeMQYUyAiNn/7tla8zWYzhYX+59jGjRtZt26d63lmZibXX3+938dV4cdms9He78ni4mJefvll13MRITc3l/79+we6PKW8dOR7NtBEZLsxxta8vdUNC40xP27hpQnNG4wxd/toK/S3b1fQMyhlpWHDhjFo0CAOHToE2K+dffzxx0yfPt3iypSyVljfqOukW8ArK7W0/JGurq/CnQYU328B7+TcAl6prnLRRReRkJDget7Q0KDLH6mwpwHloMN8ykq6/JFS3jSgHJoHlO4NpbpaZmYmsbHf34Fx9uxZPvvsMwsrUspaGlAOegalrNbS8kd647gKVxpQDs23gD927JhepFZd7vLLL/e4z6qqqkqXP1JhSwPKISoqymOnU9BhPtX1dPkjpb6nAeVGh/lUMGg+5Xz//v26/JEKSxpQbjSgVDBISkpixIgRHm2bN2+2qBqlrKMB5cZXQOn+PMoKEyZ4Lqqye/dujh49alE1SllDA8qNbgGvgkVGRgaDBw92PXcuf6RUONGAcqNbwKtg4Wv5o08//VRnlqqwogHVjF6HUsHiwgsv9Fr+6JNPPrGwIqW6lgZUMxpQKlhERkZyxRVXeLRt27ZNlz9SYUMDqhndAl4FkzFjxngtf/Tpp59aV5BSXUgDqhndAl4Fk5iYGGw2z33cPv74Y/2lSYUFDahmdAt4FWx8LX/09ddfW1iRUl1DA8oHDSgVTHr37s3o0aM92rZs2aL36KluTwPKB916QwWb5pMlDhw4oMsfqW5PA8oH3QJeBZukpCRGjhzp0abLH6nuTgPKh+ZbwDc1NXHo0CELK1LK9/JHlZWVFlWjVOfTgGqBXocKXStXruSWW24BoLCwkHHjxjFhwgRuuOEGamtrAcjNzWXcuHHYbDYKCgra3dcK6enpXmf3uvyR6s40oFqgSx6FnqqqKrKysliwYIGrLTc3l7y8PDZv3kxKSgovvvgi7733HsXFxWzdupW33nqL+fPn09TU1K6+VnBf/mjnzp0888wzXH/99aSlpZGfn29JTUp1Jg2oFugZVOjp378/27dv59VXX3W1FRcXM3bsWACmTZvGtm3bKCoqYurUqYD9F5GkpCRKS0vb1dcqF154Id999x2rV6/mxIkTgH2/qJycHA0p1e1oQLVAt4DvHtz/H8bHx1NbW0tdXR1xcXFe7e3p627ZsmXYbDZsNhtHjhzpxE9j/zz/+Mc/aGho8Gg/e/YsCxcu7NQ/W6mupgHVgujoaN0CvhtwH46rrq4mJiaG6OhoampqvNrb09ddTk4OhYWFFBYWMnDgwE78NHYtTdgpKSnp9D9bqa6kAdUKHeYLfcOGDaOoqAiAtWvXYrPZyMzM5IMPPgDsay1WVFQwdOjQdvW1Unp6us/2hIQEvvrqqy6uRqnOE2V1AcEsNTWVwsJC13MNqNCzZMkScnNziY6OJjExkccee4yYmBjWrFnDxIkTqa+vJy8vj8jIyHb1tdKiRYvIycnh7NmzrraoqCimTJnC66+/zqxZs7j00kstrFCpwJBQXi7FZrMZ9wAJtIqKCpYuXep63rNnTxYsWICIdNqfqUKbzWajM78nnfLz81m4cCElJSUkJCQwZcoUj+WQZsyY4bXIrFK+dNX3bGtEZLsxxusbVof4WqFbwKtglZ2dzb59+zDG8OGHH3qdMa1Zs4YtW7ZYVJ1SgaEB1QrdAl6Fgssuu4wbb7zRa+hx7dq1fPjhh7qorApZGlDnoBMlVCi48MILufnmm4mK8rys/OGHH7J27VoNKRWSNKDOQQNKhYqRI0eSnZ3tMSwN9uWQCgoKNKRUyNGAOgfdAl6FkmHDhjF79myPbeLBvs7gm2++qd+7KqRoQJ2Dry3gO3u1AKX8MWTIEG6//XZ69uzp0b5z505ef/11r1UolApWbQ4oEblNRP7meHyDiHwtIusdX5mO9jwR2SoihSIy3dFmc7RtFpFVIhLT3r5W0i3gVSgaPHgwc+bMoXfv3h7tu3bt4tVXX6W+vt6iypRqu3MGlIj0F5HtwBNuzWOAHGPMZMdXkYhcBww3xowDrgeeE5EIIA/INcZMAMqAee3pG8DP2mEaUCoUDRw4kLlz59K3b1+P9m+//ZaVK1d6rSmoVLA5Z0AZY6qMMVnAzW7NY4C7HWc6T4pIFJAJvO94TxlQAaRhD6Jtjve9C4xtZ18PIpLjOOsq7KqhNg0oFar69evH3LlzSUxM9GgvKSnh5Zdfprq62qLKlDq3jl6Deh+4F5gEpAB3Aj0A9+/2M0AM0OSjrT19PRhjlhljbMYYW1cszAm6BbwKbX369GHOnDleix8fPHiQl156idOnT1tUmVKta3dAiX2dnxeMMeXGmEYgH/uZTj3gPnUoDqht9mc429rT13JxcXH079/f9Vy3gFehJj4+njvuuMNrNODw4cOsWLGCkydPWlSZUi3ryBlUBPCZiPR1PL8S+BIoAq4BEJHBQBKwH9jrnEQBXAsUtrNvUNBhPhXq4uLimD17NhkZGR7tR48eZfny5VRVVVlTmFItaHdAOc6a7gfWisiHQCKw1BjzLlAqIpuA/4t9skMjcDeQ5+ibhv3sq819/fp0AaQBpbqDmJgYsrOzGTFihEf78ePHWbFihd5CoYJKm7fbMMZsADY4Hr8JvOmjz90+2gqBCf70DQYaUKq7iI6O5uabb+aNN95g165drvZTp06xYsUKfvaznzF48GALK1TKTm/UbSNfW8C778ejVCiJiorixhtv9FgFfefOnSxevJiUlBSGDBlCfn6+hRUqpQHVZr62gNezKBXKIiIimDVrFjabjZ07d7J69WpOnDgB2L+3586dy3/+539aXKUKZxpQ7aDDfKq7ERGmT5/O5s2bvZZAqqur43e/+x2rVq2ioqLCogpVONOAagcNKNUdiUiLAXTixAm++OILli5dyt///nfKy8u7uDoVzto8SUL5DihjjG4Br0Jeeno6JSUlXu0JCQmux7t27WLXrl2cf/75XHXVVV7/HpQKND2DagfdAl51V4sWLfJa/Tw6OpopU6Z49d2zZw8vvPACK1eupLS0tKtKVGFIA6oddAt41V1lZ2ezbNky0tPTERHS09NZvnw5ixcvbnHK+bfffsvy5cv5y1/+wr59+3RDRBVwOsTXTqmpqezbt8/1vKysjIsvvti6gpQKkOzsbLKzs73aR40axbfffsuGDRs4cOCA1+t79+5l7969pKWlcdVVVzF8+HAd9lYBoQHVTjpRIvRkZWXRp08fAC655BJmz57N3XffTWRkJIMHDyY/P5+YmBhyc3PZtm0bDQ0NPPzww0yfPp3CwkKffcOJiDBy5EhGjBjB3r172bBhg8/rVaWlpbzyyisMGTKESZMmMXLkSA0q5RcNqHZqHlBlZWU0NTV53MSrgkd1dTX9+/fn/fffd7VdccUV5OXlMXbsWO655x5efPFFRowYQXFxMVu3bqWsrIzx48fzwx/+kNzcXK++8+fPt/ATWUdEGD58OMOHD2ffvn1s3LiR4uJir34HDhzgr3/9K4MHD2bSpElccMEFGlSqQ/Snajv16dOH+Ph413PdAj64ff755xw7dowpU6ZwzTXXsHXrVoqLixk71r7V2LRp09i2bRtFRUVMnToVsG+vkpSURGlpqc++zS1btgybzYbNZgub74WMjAxmz57NnXfe6bWun1N5eTl///vfmTNnDikpKYgIGRkZukKFajMNqHbSLeBDS48ePfj1r3/NunXreOKJJ7j11ls9znbj4+Opra2lrq6OuLg4r3ZffZvLycmhsLCQwsJCumqPsmAxdOhQbrvtNu666y5GjRrl9frOnTvJz8933T9VUlLCvHnzePnll7u6VBWCdIivA1JTU9mzZ4/r+cGDB8nMzGzlHcoqo0aNck1iyczMZMCAARQVFbler66uJiYmhujoaGpqarzam5qavNqUt9TUVG655RYOHTrExo0b+eqrrwBYt26d1woVNTU13HvvvfTo0cN1bcv9fiulnDSgOkDPoEJHXl4e9fX1LFy4kMOHD1NVVcVll11GUVERmZmZrF27FpvNxogRI1i6dCn33nsv5eXlVFRUMHToUIYNG+bVV7Vs0KBB3HTTTVRUVPDRRx+51vZr7vjx43z99dd8/fXXACQnJzNy5EhGjhzJkCFDiIyM7MqyVZDSgOqA5gFVUVFBfX090dHRFlWkWjJ//nxmz57NpEmTAHjhhRfo06cPubm5REdHk5iYyGOPPUZMTAxr1qxh4sSJ1NfXk5eXR2RkJEuWLPHqq84tKSmJn/70pwwZMsTn1PTmZ0yHDx/m8OHDbNq0idjYWM477zzX2VWvXr26qmwVZDSgOsC5BbxzB9KmpibKy8tJS0uzuDLVXHx8PG+88YZX++bNm73alixZ4tVms9l89lVt8/jjj5OTk+OxNU1LK1Q41dTU8OWXX/Lll18C9kkrzrOrlJQUnTEbRjSgOig1NdVji+yDBw9qQCnVjPPG34ULF1JaWkpaWhqPPvooP/jBD/jmm2/45ptv2L9/f6urUJSVlVFWVsaGDRvo2bMnI0aMYM+ePSxdupQDBw6QlpbGokWLfN5krEKbBlQHpaam8vnnn7ue63UopXxraYWKQYMGceWVV1JdXc13333nCqzWNgI9e/YsK1euZPXq1a7JF86ZgceOHePnP/85UVH6Y6270P+THaQTJZQKjLi4OC6++GIuvvhijDGUlZW5wsrXv6uWZgb+4Q9/oKqqisTERJKTkxk0aJDry/3eRRU6NKA6yLkFvHMasnML+OYrQiul2s55n2FqaipXX301p0+fdp1dffvtt9TU1LQ4M/DEiRM0NTVRUVFBRUWFxwhH7969PQIrOTmZ/v376/WsIKcB1UHOLeDdN3A7ePAgI0eOtLAqpbqXXr16cemll3LppZfS1NTEgQMHeP75531usNjavVSnTp3i1KlTfPPNN642579hZ2ht2bKFp556iv379+t1rSChAeWH1NRUDSilukhERARpaWk8/fTTXjMDe/TowcyZM9t1vPr6eg4cOMCBAwfYuXOn13WtO++8k927d3PTTTfRt29fEhIS6NWrl64r2IU0oPyQmppKYWGh63lZWZmF1SgVHnzNDHSe7dTU1HD48GEOHTrk+qqoqKCxsbHVY/q6rlVbW8uzzz7rMQwYGRlJQkICffv2dYWW+3/79Omjw4YBpAHlB90CXilrtDQzMDY2lvT0dNLT011tjY2NHD161CO0Dh065HEG1tp1LXeNjY1UVVV53GLiLiIigt69e3uE1pYtW3j++ecpKytzheltt93WkY8ddjSg/ODcAr6urg6AM2fOcOLECfr27WttYUopl8jISJKSkkhKSmL06NEAGGM4deqUK6yee+45Kisrvd7b3jUCm5qaOHHihCvYmg8dlpaWMnfuXN577z0mT55M79696dWrF7179/Z6HBsbG/a/7GpA+cG5Bbz7DrsHDx7UgFIqyIkIffr0oU+fPpx//vk888wzXte1YmJiyMnJYdSoUZw4cYLjx497LCjcFr6GDuvr61m9ejXnnXdeq++NiopyBVbzEFu3bh3PPPOM60blxYsXd8sJHRpQfvIVUBdddJF1BSml2q2161runNPcjx8/7vqv++MzZ8549G/r0KEvDQ0NruO783VWNmfOHN5++20mTpxIXFwcsbGxxMXFeTxuqS2YaUD5SW/YVap7aOm6lrvY2FhiY2NJTk72+Xp9fb1HgHVkSvy5tHRWVlBQ0O1mEWtA+Um3gFdKOTlXvU9MTATwOSU+Li6Oxx57jOuuu47Tp0+77tFq/th5bbs5f87KQo0GlJ8SEhKIj493ndo7t4Bv6TcspVT4aOvQoS+1tbU+gysxMTEgEzpCgQaUn5xLszTfYVcDSikFbRs69CUmJoaYmBjX2ZiTrwkdcXFx/OlPf2LmzJlUV1dTU1NDdXW1x2NfbbW1tX5/vs6kARUAugW8Uqqr+HNW1lxTUxOrV68OdIkBowEVADpRQinVlTp6VtZcsF8rD+7qQkRLW8ArpZTqOA2oAHBuAe/k3AJeKaVUx7U5oETkNhH5m+OxTUS2ishmEVklIjGO9jxHe6GITA9U31Cgw3xKKRVY5wwoEekvItuBJ9ya84BcY8wEoAyYJyLXAcONMeOA64HnRCTC374B+6SdTANKKaUC65wBZYypMsZkATe7NQ83xmxzPH4XGAtkAu873lMGVABpAejrQURyHGddhUeOHGnPZ+1UGlDdV25uLuPGjcNms1FQUGB1OUqFjY5eg2pye3wGiAF6ANU+2v3t68EYs8wYYzPG2AYOHNjB8gPPuQW8k3MLeBXa3nvvPYqLi9m6dStvvfUW8+fPp6mp6dxvVEr5raMB5f6+OKAWqAdifbT72zckOLePdqcbGIa+oqIipk6dCtgXBk5KSqK0tNTiqpQKDx0NqL0i4rwT9VqgECgCrgEQkcFAErA/AH1Dhg7zdT91dXXExcW5nsfHx3vdfb9s2TJsNhs2m41gGnZWKtR19Ebdu4E8EakHKoHfG2NqRWSGiGwCorFPdmgUEb/6+vsBu1LzLeA1oEJfdHS0xx5A1dXVxMR4jjzn5OSQk5MDgM1m69L6lOrO2hxQxpgNwAbH40Jggo8+d/to87tvqEhJSfF4rlvAh77MzEyWLl3KvffeS3l5ORUVFQwdOtTqspQKC7rUUQANHDhQt4DvZqZNm8aaNWuYOHEi9fX15OXlERkZaXVZSoUFDagAioiIYPDgwZSUlLjadAv40LdkyRKrS1AqLGlABVhqaqpXQOkW8OFj3759LV6HOnLkCIG+NSJUjtlZxw2VY3bWcQNxzH379gWmmE6gARVgOpMvvPnaSM7JZrN5TKIJhFA5ZmcdN1SO2VnH7axag4UuFhtgLW0Br5RSqn00oALMuQW8k3MLeKWUUu2jARVgzi3g3ekwnwJc90qF4zE767ihcszOOm5n1RosxBhjdQ0dZrPZTDCOv27YsIH169e7nmdlZTFz5kwLK1JKqeAlItuNMV6zi/QMqhPoGZRSSvlPA6oTNF9RQreAV0qp9tOA6gQ9e/bULeAVYF+778Ybb+Tqq69mwoQJ7NixI6DHb2hoIDMz0+PeO39kZWUxefJkJk+ezD333BOQYy5fvpzMzEwuu+wyFi1aFJBjvvbaa646J0+eTO/evTl27Jhfx2xsbGTOnDmMHz+e8ePHewzTd1RdXR233347kyZN4vLLL2fTpk1+HxNg5cqV3HLLLQAUFhYybtw4JkyYwA033OC1mHEo04DqJL6mm6vw89JLLzFmzBg+/PBDFi9ezMMPPxzQ4z/11FOcPHkyIMeqrq6mf//+rF+/nvXr1/Pss8/6fcw9e/awatUqCgsL2bFjB01NTQG57eKmm25y1Tl37lwefvhh+vXr59cx165dy+nTp9myZQsvv/wyv/nNb/yuc9myZaSkpLBx40aWL1/OHXfc4dfxqqqqyMrKYsGCBa623Nxc8vLy2Lx5MykpKbz44ot+Vh08NKA6iV6HUgBXXHEFc+bMAeDAgQMkJCQE7NjffPMNxcXFXHnllQE53ueff86xY8eYMmUK11xzDVu3bvX7mAUFBQwbNozrr7+eSZMmcckll3hs7OmvgwcPsmLFCu677z6/j9WvXz9OnDhBY2MjFRUVJCYm+n3Mr776inHjxgFw0UUXcfLkSb9GU/r378/27dt59dVXXW3FxcWMHWvffHzatGls27atpbeHHF1JopNoQCmAyy67DLD/xv/OO++wevXqgBzXGMPvf/97nn/++YD8pg/Qo0cPfv3rX3PLLbdQVFTEDTfcwHfffefXavzl5eUUFRXxwQcfcPr0acaPH8/EiRMD8sMf4IEHHuC3v/1tQI41ZswY6uvrueCCCzh06BD5+fl+H/PSSy/lzTff5Prrr+ejjz7i6NGjAR+Ccw98X/uVhTI9g+okzbeAr6qq0i3gw1BlZSWNjY289tpr7Nixg5/97GcBOe4LL7zAjBkzArq226hRo7jxxhsB+zYjAwYM8PsXq7i4OH70ox/Rs2dPkpKSyMrKYteuXYEol9OnT7Nx40bXjsf+evzxxxk/fjzffPMNX331FfPnz+fMmTN+HXPu3Ln069ePK6+8kjfeeINLLrmEpKSkgNTr5D5k6mu/slCmAdVJoqOjvb4R9TpU+Ln//vtZs2YNYF9lJCoqMIMW69ev56WXXmLy5Mm8++673HzzzX5PEsjLy+OPf/wjAIcPH6aqqork5GS/jjlp0iQ2b96MMYbq6mq++OILzj//fL+O6bRhwwauvPLKgA0Z1tfXuwK/X79+RERE+L2X2/bt27nmmmvYtGkTv/zlL+nXrx89e/YMRLkuw4YNo6ioCLBfR+tOm2bqEF8nSk1N5dChQ67nBw8eZMSIERZWpLraAw88wNy5c/mP//gPamtrWbp0aUCO+7e//c31eM6cOTz00EN+TxKYP38+s2fPZtKkSYD9LC06OtqvY15zzTWsW7eOrKws4uPj+d3vfud36Dl9++23AQs7gF/96lfcdtttvPHGG9TU1PDoo4/6HSajRo3ikUceYdGiRcTExJCXlxegar+3ZMkScnNziY6OJjExkcceeyzgf4ZVdCWJTlRUVMRbb73len7++edz6623WliRUkoFH11JwgK+JkqE8i8ESinVlTSgOpFzC3gn5xbwSimlzk0DqhM5t4B3p9PNlVKqbTSgOpneD6WUUh2jAdXJNKCUUqpjNKA6mW4Br5RSHaMB1cl0C3illOoYDahOplvAK6VUx2hAdQENKKWUaj8NqC6ge0MppVT7aUB1geZbwB8+fFi3gFdKqXPQgOoCvraAd19EVimllDcNqC7S/CxKr0MppVTrNKC6iE6UUEqp9tGA6iIaUEop1T4aUF1k8ODBugW8Ukq1gwZUF9Et4JVSqn06HFAisl1E1ju+nhURm4hsFZHNIrJKRGIc/fIc7YUiMt3R1ua+3YkO8ymlVNtFdeRNIhIHVBljprq1fQzkGmO2icizwDwR+RYYbowZJyIpwBYReQfIa2tfY0y3WVk1NTWV7du3u55rQCmlVMs6egZ1CdBPRNaJyAciMg57uGxzvP4uMBbIBN4HMMaUARVAWjv7ehCRHMcZVmGoLbqqW8ArpVTbdTSg6oCnjDFTgAXAXwH3M50zQAzQA6j20d6evh6MMcuMMTZjjG3gwIEdLN8aAwcOJDo62vVct4BXSqmWdTSgdgOvAxhjioCjgPsMgDigFqgHYn20R7Sjb7cRERFBSkoKO3fu5JlnnuHhhx/mwgsvJD8/3+rSlFIq6HQ0oHKB3wKISDLQH/hURDIdr18LFAJFwDWOfoOxh9h+YG87+nYru3fvZvXq1a4zp/LycnJycjSklFKqGenINRARiQdeBpxjbA8BJ4E/Yz8TqgSyjTG1IrIEuAyIBh4xxhSIiK2tfVurw2azmcLCwnbXb6WUlBTKy8u92tPS0igpKbGgIqWUspaIbDfG2LzaQ/kifSgGlIi0+NqBAwe8JlIopVR311JA6Y26XSw9Pd1ne0JCAi+++CJvv/02NTU1XVyVUkoFHw2oLrZo0SLi4uI82qKiopgyZQrGGD755BOee+45vvzyS52CrpQKaxpQXSw7O5sXXnjBdSaVmJjIzJkzGT16tKvPqVOneP3118nPz+fYsWNWlaqUUpbSa1BB4LvvvqOgoICqqiqv16KiorjqqqsYP348kZGRFlSnlFKdSydJBLn6+no2bdrEpk2baGxs9Ho9KSmJGTNmkJbmtbiGUkqFNA2oEHHkyBEKCgrYt2+fz9czMzOZOnWq13UspZQKVRpQIcQYw2effcbatWt97hnVs2dPrrvuOkaPHt3qtHWllAoFGlAh6OzZs7z//vvs2LHD5+vDhg1j+vTpJCYmdnFlSikVOBpQIaykpIQ1a9bga/X2yMhIJk6cyJVXXklUVId2T1FKKUtpQIW4xsZGNm/ezMaNG2loaPB6fcCAAUyfPp3hw4dbUJ1SSnWcBlQ3UVVVRUFBAd99953P10ePHs11111HfHx8F1emlFIdowHVjRhj+PLLL3n33Xc5ffq01+uxsbFMnTqVzMxMnUShlAp6GlDdUE1NDR988AGFhYU+l0UaOnQoM2bMIDk52YLqlFKqbTSgurEDBw6wevVqDh8+7PVaREQE48eP56qrrvLYzVcppYKFBlQ319jYyD//+U/Wr19PfX291+t9+/Zl+vTpjBw50oLqlFKqZRpQYeL48eO888477N692+frF154IT/84Q/p3bt3F1emlFK+aUCFEWMMX3/9Ne+88w4nT570ej0mJoYpU6YwduxYIiJ0QXullLU0oMJQbW0t69ev55///KfPSRQpKSnMnDmTwYMHW1CdUkrZaUCFsfLyclavXk1ZWZnXayLC5ZdfzuTJk4mJibGgOqVUuNMt38PY4MGDmTdvHj/60Y+8QsgYw9atW5k7dy6pqamICBkZGeTn51tUrVJK2enibWEiIiKCf/3Xf+Vf/uVfePfdd/nyyy9dr+3cuZPVq1e7llAqKSnhzjvvpLKykn/7t38jNjbWqrKVUmFMAyrM9O7dmxtvvJHLLruMgoICjh8/zrp167zW96utreXBBx/k2LFj9O3bl0GDBpGcnMygQYMYNGgQffv21VUqlFKdSq9BhbH6+no2bNjA1KlTW+zz4IMP+myPiYkhOTnZI7SSkpL0ZmClVLu1dA1Kz6DCWHR0ND/4wQ8YMmQIBw4c8Ho9ISGhxffW1tZSWlpKaWmpq01EGDBggMfZVnJyMr1799azLaVUu2lAKR5//HFycnI8du/t0aMHs2bNIiIigqampjYdxxhDZWUllZWVfPHFF672nj17eoXWwIEDiYyMDPhnUUp1HxpQiuzsbAAWLlxIaWkpaWlpLFq0iOzsbBoaGqioqODw4cMcOnSIQ4cOcfjwYWpqatp8/LNnz1JcXExxcbGrLTIykoEDB3oMESYnJ9OzZ8+Afz6lVGjSa1Cq3YwxnDhxwiu0qqqq/D52nz59SE5O5osvvuAvf/kL5eXlDB06lMWLF3PbbbcFoHqlVLDRG3VVp6utreXw4cOu4HI+9rV4bWuaT3sH+/Wyn/70p0ycOJGePXvSs2dP4uPjXY99PdcJG0qFBp0koTpdTEwMaWlppKWludqampqoqqryCK1Dhw75XCPQyde09/r6et555x1GjRrV5np69OjRaoA1fx4XF6eTOZQKIhpQqlNFRESQmJhIYmIiF110kav97NmzXkOER44cobGxkRMnTvg8VkvtLamrq6Ouro7jx4+3qb+IeARW8xBbv349S5YsoaysjCFDhvDv//7v3HrrrURHRxMdHa0L7yoVYDrEp4JGY2MjlZWVjBkzhvLycq/XExIS+OUvf9n1heF72DEqKoqZM2cyevRo13NnWPXo0cPnY3+e+5r1mJ+f73Nyi1KhRIf4VNCLjIwkOTmZJ554wmvae1xcHE8++SQzZszg7NmzHl9nzpzx+byt0+PbwtewY0NDA+vWrXMFVENDAw0NDVRXVwfsz3UXERHhEVg7duzgr3/9K3V1dYB9iaq5c+eybds2pkyZQmRkZKtfUVFRfvdpPiSqgakCSQNKBZ3Wpr23lTGG2trac4aY+/Pa2toWjxeoYUd/NDU1UVtb66rzzTffdIWTU11dHS+99BJ9+/btkpoiIiJcIfbZZ5+xatUq16SYkpIS5syZw/r167niiiuIiIiw5GvNmjU8/fTTlJWVkZqayoIFC/jJT36CiBAREYGIeH35am9vX6DFa5rBFuTBVo+TBpQKStnZ2X79AxERYmNjiY2NpX///m16T2NjY4sh9vzzz1NRUeH1nr59+xIdHd3umYqBECyh6QzJt99+2+vvob6+nlWrVjFkyJAuq8ld86HZgwcPcv/997NhwwbXmW9n8hVkn332GW+++aZXkL/99tvYbLaABWRb+27cuJHnnnvO40z8zjvv5LPPPmPKlCmukHV/j/vzjr7m/rwlQRdQIpIHjMVe24PGmAKLS1JhIjIykt69e9O7d2+v155++mmvYceePXuyZMkSsrOzMcbQ0NBAfX09dXV11NfXu75ae96evs2HLBMSEnyGUWtLVHWmYAjM5toyNNuZjDGuzUIbGxsBeO+993wGeUFBASNHjuz0mppbvny515l4bW0ty5Yts/zG+aAKKBG5DhhujBknIinAFhF5xxgTuIsJSnXAuYYdRcQ1qaEz/lEbY2hsbPQIr8TERBYsWOCxqkdsbCy/+c1vuO6662hsbGz1q6Gh4Zx9ztXPXbAFJgRnaAZbTcFWj7ugCiggE3gfwBhTJiIVQBqwz8qilAL/hx39ISJERUURFRVFXFwcAHfffTf9+vWz7NqBMYampiZXiA0ZMoR77rnHY5JIbGwsjzzyCLNmzaKpqanLvxITE6msrPSqvX///gwZMsR1htPU1OR63Fpbe/v6EmxBHmz1uAu2gOoBuK+Xcwbw2AJWRHKAHMDjhlClwpHVoemczdejRw/mzZtHXFxcUF1sb2xs9Dk0++yzz3Z6Xb4CyxhDeno68+fP9wjyuLg4nnjiCW688caABmRb+kZFRfHoo496TBKKiYnhV7/6Fddee63XZ3F/3tpr7enb7r9EK76A/wnc6/Z8K5DRUv+srCyjlFKtWblypUlPTzciYtLT083KlSutLinoarK6HqDQ+PgZH1Q36orINOAXxpjrRWQwsBkYaYxp9NVfb9RVSqnQFxI36hpj3hWRGSKyCYgGclsKJ6WUUt1bUAUUgDHmbqtrUEopZT1d3VIppVRQ0oBSSikVlDSglFJKBSUNKKWUUkFJA0oppVRQ0oBSSikVlILqRt32EpEjQEkbuycC3otyWUtrOrdgqwe0prYItnpAa2oLq+pJN8YMbN4Y0gHVHiJS6OtOZStpTecWbPWA1tQWwVYPaE1tEWz16BCfUkqpoKQBpZRSKiiFU0Ats7oAH7Smcwu2ekBraotgqwe0prYIqnrC5hqUUkqp0BJOZ1BKKaVCiAaUUkqpoBQ2ASUit4nI34KgjngReVVENorIxyJyRRDUFCcir4vIhyKyWUTGWF2Tk4hEiUiRiKRbXQvYN1YTkfWOr2eDoJ65jr+fT0VkYRDUc5Pb3896ETklIv0srilSRFaIyBbH12SL6+khIn9x/Az4p4hMtLIeR02un48iYhORrY6fBatEJMaqurp9QIlIfxHZDjxhdS0OdwJ7jDGTgBzgzxbXA3AHsMMYczXwP4EHLa3G06+BPlYXAfYgB6qMMZMdX/dYXM/5wA2ADRgDRIiIpf+mjTGvOf9+gOXAg8aYY1bWBFwL9DLGjAdmA3+yuJ4coMzxM2Au8JJVhbTw8zEP+2axE4AyYJ4lxREGAWWMqTLGZAE3W12Lw1fY/+ECnAQiLazF6WNghePxEOCEhbW4iMhIYDjwkdW1OFwC9BORdSLygYiMs7ie6cBe4C1gI/C5MabJ2pLsRCQVmGOMedrqWoBjQIKIRAJJWL9yw4XAVgBjzJdAHxEZbEUhLfx8HG6M2eZ4/C4wtusrswu6HXW7O2PMPwBEZCjwCvCAtRWBMeZTABF5DfghMNPSguy1CPAY8D+w/jdepzrgKWPM30QkE1glIucZ66bCDgYygWuAXsAWEdlkjLH6BzDAI8AfrS7CYQcQDXwNDAKyrS2Hz4CfiMhbwJXAAMCyYTQf3H/JOYOFtXX7M6hgJCK3Ay8D9xljCoKgnkQRiTTG3IR9qOgVq2sC7gLWGGOOWF2Im93A6wDGmCLgKJBqYT3VwNvGmLPGmApgO/AvFtYDgIj0AiYB71tdi8PvgC3GmJHYz16eE5F4C+tZjv2s7iPgp8DnQIWF9TTnngtxQG0wFKK6gIjMwv4b7w+MMYUWl+P0JDDD8fgE0GBhLU6TgTtEZD0wDXjV6ovtQC7wWwARSQb6A4ctrGcjMEHs4oCLgT0W1uN0FfBRsAw3Yj97cv6icwz7GYKVN4BmAR8YYyYCzwDHjDFnLaynub2OEQKwX7+z7OeUDvF1vTlAGvAP+ygWe40xc60tiUeA5SLyK+yn87+wuB6MMbc4H4vICuChILjY/hzwsohsdDy/yxhTb1UxxpgPRGQK9jOnM8DjxhgrA9NpBMERlE7/AawUkZ8CscAfLA6E3cADjlmXtdh/8QkmdwN5IlKP/Xrd760qRFeSUEopFZR0iE8ppVRQ0oBSSikVlDSglFJKBSUNKKWUUkFJA0oppVRQ0oBSSikVlDSglFJKBaX/D2udKHJvY5ODAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEYCAYAAAAJeGK1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAA5O0lEQVR4nO3dfXzcZZ3/+9dnbpPMJCFpkjaBlhbKjdwIpFMtbWEppQgLx9/uWfTIUVFA+9gjhN1VWfXsObr4kEV/R92jqe7jURFdhZ8cfvBwF1vlrhaBYt1OU7RAkbZpWiBp0zRpk0nmfq7zx0ySuUubm0m+k5nP82HMzHeu+eaaksx7rpvvdYkxBqWUUqrY2KyugFJKKZWPBpRSSqmipAGllFKqKGlAKaWUKkoaUEoppYqSBpRSSqmipAGl1CwTkUMiYtK+BkXkVRH5rIhIqszXssqkf+1JK7PP2lej1NxxWF0BpcrEt4B/AwSoBv4C+BdgHfC/p8ocBNbneW5kLiqoVLHRgFJqbgwYYw6n3d8rIruBV0Xk/0sdi2aVUaqsaRefUhYxxvweeBX4iNV1UaoYaUApZa3XgQusroRSxUgDSilrHQcqU7cvEpFgnq+/tbKCSllFx6CUstZZwEDqdhdwc54yx+aqMkoVEw0opax1HbA9dTtsjPmzhXVRqqhoF59SFhGR/w24FPgfVtdFqWKkLSil5kadiJxL8jqoWuB/Bb4EtBtjfi8iNwLOVJlsMWPMe6nblSKyIk+ZHmNM96zUXCmLaEApNTe+lPoCGCQ5e+9vjTE/TStzPslxqGwHGJ/pdy7gz1PmG8D/XYiKKlUsRHfUVUopVYx0DEoppVRR0oBSSilVlDSglFJKFSUNKKWUUkVp3szia2hoMEuXLrW6GkoppQps9+7dfcaYxuzj8yagli5dit+fb3atUkqp+UxE8m4zo118SimlipIGlFJKqaKkAaWUUqooaUAppZQqShpQSimlipIGlFJKqaI0b6aZT8Ybrx9l+28PMDQYwVvt4vr1y7n0skVWV0sppdQ0lExA/dcfjrD9twdJxJOrsweGIvx661sAGlJKKTUPlUwX3x9+f2QsnEbFogle3H7QohoppZSaiZIJqEAgkvf44KnwHNdEKaVUIZRMQNXUuqd0XCmlVHErmYC6bt352OySccxuF65bd75FNVJKKTUTJRNQl162iKtXn4vLbQfA5bbT6jtHJ0gopdQ8VTKz+AAuf38z6W0oj9dlWV2UUkrNTMm0oACqqzMDaXg4SjyesKg2SimlZqKkAsrhsFNZ5Rw/YMyEs/uUUkoVt5IKKACvN3PWXmBIp5krpdR8VHoBVZ0VUAENKKWUmo9KLqCqsyZGDA1pF59SSs1HJRdQ3mo3yPhcvmAwSiymEyWUUmq+KbmAstttVOVMlNBuPqWUmm9KLqAg30QJ7eZTSqn5pjQDKut6KG1BKaXU/FOSAVWd1YIa0qnmSik175RkQHm8LiRtokQoGCUajVtYI6WUUlNVkgFlt9uo8mR182krSiml5pWSDCjIXZdPlzxSSqn5pWQDKnsmn45DKaXU/FJS222k0yWPFMDw8DB333033d3dRKNRvvvd7+J0Orn33nux2+00Nzfz2GOP4Xa7aWtrY9euXcRiMR544AFuueUW/H5/3rITaWhoYOnSpXP3ApWaoa6uLvr6+qyuRl4lG1AejxOxCSZhAAiHYkQiMVyukn3JKo8f//jHXHjhhTz++OPs3buXu+++G7vdTnt7OytXruS+++7j4YcfZvny5XR2drJz5066u7tZvXo1N998M21tbTll77nnngl/3tKlS/H7/XP4CpWaGZ/PZ3UVJnTad2sR8QA/BloAJ/B54GzgG0BPqtgXjDEdItIOrEyd82vGmK0i4gM2AfFU+Y8bY8L5yhb6hdlsNjweV8bkiEAgQn29BlQ5ueSSS1i+fDkANTU1xONxDh8+zMqVKwG46aabeOKJJxgcHGTDhg0AtLS00NTUxJEjR+js7Mwpm23z5s1s3rwZgOPHj+c8/sbrR9n+2wMMDUaoqXVz3brzdadnpSbhTGNQdwNvG2OuBTYC3wOuAjYaY9alvjpE5EPAecaYVcCHgR+IiA1oB9qMMWuAbuAzpylbcDndfDoOVXZuuOEGli5dyjvvvMMnP/lJvv71r2Ozjf+6eTwewuEwkUiEysrKnOP5ymbbuHEjfr8fv99PY2NjxmNvvH6UrVv2MTSYnKQzeCrMr7e+xRuvHy30S1Wq5JwpGN4EHkndHgTsJAPqXhHZISLfFhEH0Ao8D2CM6QZ6gSUkg2hX6vnPkGw1TVQ2h4hsFBG/iPjzfTI9E71gVwH8+7//O3fccQff/e53ueWWW0gkxhcPDgaDuN1unE4noVAo53i+slPxwvP7icdMxrFYNMGL2w9O89UoVT5OG1DGmBeMMV0ishj4OfBVkuHyd8C1JLv+7gZcQDDtqcOAG0jkOTZR2Xw/f7MxxmeM8WV/Mp2M6pwWVARjzASlVSn6j//4D7Zt28YLL7ww1te+bNkyOjo6AHjuuefw+Xy0traybds2AHp6eujt7WXx4sV5y07FyHA07/HBU/phSakzOeOAjIh8Cvg0yfGn3cDvjDGB1GOPAX8NdAIVaU+rBMJkBuDosegEZQuuyuPEZhMSqYkSkUiMSCSO263jUOXiJz/5CUeOHOGGG24AkuG0adMm2tracDqdNDQ08NBDD+F2u9myZQtr164lGo3S3t6O3W7PW3YqqmtcY9172ceVUqd3pkkSfwWsB24wxsRFxA78UURWGGNOAtcAbwD7gM8B3xORZqAJeAc4JCKtxpgO4EbADxyYoGzBiQher5vBwfGum8BQWAOqjPznf/5n3uM7duzIObZp06acYz6fL2/ZyVp3/XK2btmX0c0nNrjiypZpn1OpcnGmd+o7SY4PvZBa2+4Q8EXgOREZIRk2X0vNzLtVRF4hOduvLRVo9wLtIhIF+oCvTFR2dl5ecqJEekANDYVZ0OCZrR+nVIbR2XrPP/c2wZEYLredpUvrsNtshMMx/bCk1Gmc9q/DGPPfJnjol3nK3pvnmB9YM5mysyV36w1d8kjNrUsvW8TyCxrY7X+XeGp353g8wcEDJ7jk0oUW106p4lWySx2Nyp7JFxgK60QJNefcbgdLl9VnHDvRN8yJEyMW1Uip4lfyAVVZ5cRuH3+Z0WiccDhmYY1UuWpurs6ZWXrwQB/xeGKCZyhV3ko+oJITJbK33tBuPjX3RITlFzZk7FUWDsU4cvikdZVSqoiVfEBB7ooSesGusorX66bl7JqMY++9e4phHRtVKkdZBFR2t4oGlLLSuUvrMmbvGWM4sL9Px0aVylIWAZXdghoO6EQJZR273cb5yxdkHBscDHH06JBFNVKqOJVFQFVUOHA4xl9qLJYgGNSJEso6Cxo81C+oyjjW1dlPJKK/l0qNKouAEhHdwFAVnfOXN2TMMI3FEhzq7LewRkoVl7IIKMjdAl633lBWq6hwsOTcuoxjvccCDAwEJ3iGUuWlbAIqd2VzDShlvbPPqcHjzb02Kn2bD6XKVdkEVL4lj3SihLKaiLD8ggWQdm1UcCTKO0dOWVgrpYpD2QSU2+3A6bSP3Y/HEwRH8u/Vo9RcqqmpoLm5OuPYO++cZGREr41S5a1sAirfRIkhnSihisTSZXW4XGnXRiUMB/af0Fa+KmtlE1CALnmkipbDYee88zMXkz11Mkhvb8CiGillvbIKqOoaXVFCFa+GRg9n1VVmHDvU2U80OmvbpSlV1MoqoLKnmg8HwmPbwStlteSEiQZstvEJE9FInK5Dem2UKk9lFVButwNX2hpoiYTRgWhVVCornSxeclbGsaM9Q5w6Fcr/BKVKWFkFFOg4VLl69NFHuf322wF48sknufjii1m3bh3r1q2jo6MDgLa2NlatWoXP52Pr1q0A+P1+Vq1axZo1a7jtttsIh2e/W/icxbVUVmX+nh7Y36etfVV2yi6gclY215l8Ja2/v58VK1Zw//33jx3bs2cPmzdvZvv27Wzfvp3W1laeffZZOjs72blzJ08//TT33HMPiUSCtrY22tvb2bFjBy0tLTz88MOzXmebzZa8NirNyHCE997Va6NUeSm7gMpZk08nSpS0+vp6du/ezeOPPz52bM+ePWzatIk1a9bwxS9+kVgsRkdHBxs2bACgpaWFpqYmjhw5QmdnJytXrgTgpptuYteuXTk/Y/Pmzfh8Pnw+H8ePHy9Ivc86q5KFizKvjTpy5CTBoF67p8pH+QVU9kSJ4YguK1NmNmzYwPe+9z1eeukluru7+fGPf0wkEqGycnwGncfjIRwOY7PZco5l27hxI36/H7/fT2NjY8Hquey8+oyLyxPxBAcP6LVRqnyUXUC5XHbcFZkXRA4P66fScmGM4bOf/SzNzc3Y7XY+/vGPs2vXLpxOJ6HQ+ESEYDCI2+3O+PAyemyuOJ12lp6XeW3UQP8IfX3Dc1YHpaxUdgEFurJ5OUskElxxxRWcPHkSgJdffplLL72U1tZWtm3bBkBPTw+9vb0sXryYZcuWjU2ieO655/D5fHNa34ULvdTWVmQc6zzYTyymrX5V+hxnLlJ6qqvdnEj7FDo0FKbZwvqouWO32/n2t7/NjTfeSFVVFcuXL+eBBx7A7XazZcsW1q5dSzQapb29HbvdzqZNm2hra8PpdNLQ0MBDDz00p/UdvTaqo+M9TGoWXyQc43DXQM6uvEqVGpkv/dk+n8/4/f6CnGtgIMjrf+oZu+/xumhdcU5Bzq3Km8/no1C/p+m6DvXzzpGT4wdEuPKqlpxZqUpN1Wz9zk6FiOw2xuR0T5RpF1/mNSYjw1Hice0yUcVr8ZKzqKh0jh8whgNv9+mECVXSyjKgnE57xh+7MYbhgF6wq4qX3W7L6dILBMJ0vzdoUY2Umn1lOQYFyXGoUNo1JUOBMDVZg9FKFZP6+ioam7wc7w3Q2xugq2uAV17uorrGxbrrl3PpZYusrqJSBVWWLSjIN5NPW1Cq+C07r54TJ0bYv7+PSDi5yvnQYIStW/bxxutHLa6dUoV12oASEY+IPC4iL4nI70XkahHxichOEdkhIk+KiDtVtj113C8it6SOTbrsXMvdAl6nmqvi53Y7OHJ4AJM1ZBqPGbZvO2BNpZSaJWfq4rsbeNsY8zERuRz4MRAH2owxu0Tk+8BnROQAcJ4xZpWItACvishvgPbJljUm+09udnm9bhCB1CDzyEiUWCyBw1G2jUo1T0x0YfnQUIT+/hHq66vmuEZKzY4zvRu/CTySuj0I2EmGy+iCZM8AK4FW4HkAY0w30AssmWLZOeVw2KjMmhU1rK0oNQ/U1OafWu5y23nj9WO8c+Skzu5TJeG0AWWMecEY0yUii4GfA18F0ls6w4AbcAHBPMenUjaHiGxMdQP6C7UIZ7rclc11HEoVv+vWnY/DmfmnKzZYurQOjKHrUD/73uzV1SbUvHfG/iwR+RTwM+DzxpitWc+pBMJAFKjIc3wqZXMYYzYbY3zGGF8hF+EclTMOpUseqXng0ssW8Ze3XDzWkqryOLnwwkaamrxjZU70DfPH17oZGdF1JtX8ddoxKBH5K2A9cIMxJp46fEhEWo0xHcCNgB84AHwO+J6INANNwDtTLDvnqrNm8g1pQKl54tLLFmVMKx8YCPLWvl5i0fjYsZHhCK/teY+LLm5iwQIdl1Lzz5kmSdxJcnzoBREBOATcC7SLSBToA75ijAmLyK0i8grgJDkxIi4iky47Oy/v9DxeV8ZEiVAwSjQaz9jiQKn5oK6ukqtaW3jzjd6MsdR4LMGbrx/l3KV1LF5yFqm/Y6XmhdMGlDHmv03w0Jo8Ze/Nc8w/2bJWsNtteDzOjFUkAoEIdXWVp3mWUsWposLJFVc2c2B/H73HAhmPHe4aYGgozEUXN+Jw6AcwNT+U/Zxq3XpDlRK73caFFzVy3vkLclpL/SdGeG1PDyMjOhlIzQ8aUNlbwOtUczXPiQhnn1PLZZcvyumuDo5EeG1Pd8Z2M0oVq7IPqNyJEvrpUpWGs+oqubL17JwPYfFYgjffOMbhrgG9XkoVtbIPKI/XidjGu0LCoSiRiCVzNpQquIoKB++/opmmhdU5jx05PMCbbxwjFtPfd1Wcyj6gbDYbnipdl0+VruS4VAPnL2/IOy61p6Ob4WHtOVDFp+wDCsBboxMlVGkTEVrOruHy9y/C6coclwoFo/xxTzd9x3VcShUXDSj0gl1VPmrPquSq1rNzlvmKxxPse/MYXYf6dVxKFQ0NKPJtvaHdHaXm0Ucf5fbbbwfA7/ezatUq1qxZw2233UY4nPxA0tbWxqpVq/D5fGzduvW0Zeczt9vB+69sZlFz5rhUb2+Ap57cyzcf3M6m77+i+0spy2lAAVVVLmxpEyUi4RjhcMzCGqlC6e/vZ8WKFdx///1jx9ra2mhvb2fHjh20tLTw8MMP8+yzz9LZ2cnOnTt5+umnueeee0gkEnnLlgKbzcbyCxpYfkEDYhN6ewN5N0F8fW+PxTVV5UwDCrDZBE/2Bbs6UaIk1NfXs3v3bh5//PGxY52dnaxcuRKAm266iV27dtHR0cGGDRsAaGlpoampiSNHjuQtm23z5s34fD58Ph+zser+bBERmltqeP/7mzk8wSaIzz+7n/7+Ee32U5bQgErJXdlcu/lKlc02/mvv8XgIh8NEIhEqKytzjucrm23jxo34/X78fj+zser+bKuprSAcyj/VPBSK8cbeo+z901GGBvVDm5pbGlApOlGifCQS402FYDCI2+3G6XQSCoVyjucrW4pOtwkiwKmTQV7b8x773jymW3ioOaMBlZJvySPt1ihNy5Yto6OjA4DnnnsOn89Ha2sr27ZtA6Cnp4fe3l4WL16ct2wpyrcJos0myU0Q0/QdH6bD/y4H9vcRieg4rZpdZ9puo2xUVTmx223E48lPzNFInHA4TkWF/hOVmk2bNtHW1obT6aShoYGHHnoIt9vNli1bWLt2LdFolPb2dux2e96ypWh0b6kXtx9k8FSYmlo3q64+F7fbwUD/SEZZYww93YP0Hgtw9jm1nH1OLQ6HftZVhSfzpZXg8/mM3++f1Z/xp9e6OXVqvJvnfZcspKHRM6s/U5UWn8/HbP+ezrWBgSBdh/onvIDd6bKzZEkdi5qrM2bDqvmhGH5nRWS3MSane0I/9qTJ7ubTcSilkpshXnlVCxe/r4mKSmfO49FInIMH+tjtf5fjxwPaNa4KRvuv0ujWG0rlJyI0NnlZ0OChp2eQdw6fJBrNnPkXCkZ5681evNVuli2r5yzd+FPNkLag0uTbvFA/DSo1zmYTzj67Ft8HFrPk3Dps9ty3kMBQmL1/6uH1vUczdqtWaqq0BZWmstKB3WEjHktOlIjFEoRCMSrzdGsoVc4cDhvnLq2juaWaw4dPcqxnKOfD3ED/CAMDQcKhKG+91cvQYISaWjfXrTt/bFKGUqejLag0IqJbwCs1BS6XgwsuaKDVd07eCUW9x4bw+99laDDZkho8FWbrln26zp+aFA2oLNmrPOtECaXOrKrKyfsuWcgVV7VQW1sxdryrK/8SSi88v1+vNVRnpF18WXRlc6Wmr6amgsuvaKa/Pzk1fXTx2Wwjw1H27H6PyioXjY0eGho9VFU5czZUVOVNAyrLRBMl9A9HqckRERYsqKK+vpIdrxxiOJC7NNLoEkrBkQhHDkc4cniAKo+LhgYPjY0eqjyunOeo8qNdfFkqKhw4neM7jsbjCYJBXXtMqakSEdbfcAF2R+aHO7GRs4QSwMhwMqh2+99lt/9djhweYGREezDKmbagsogI3mp3xvIuQ0Nhqqr0E51SU5W9hFJ1jYvWFedQW1vBwEAQk8g/BjUyHOHwcITDXQN4vMmWVUOjl6oqnVFbTjSg8vB6XRkBFRiKsHChhRVSah679LJFeaeVx2JxTvSNcPz4MCcHghNOmBgORBgOjIaVe2zMSi//KH0aUHlkz+TTqeZKFZ7DYWfhomoWLqomGo1z4sQIfWcMqzDDgTD/9YcjHDl8klAohrfaxbrrz+eyy5vn+BWo2aYBlUfOkkfDEZ0oodQscjrtLFpUzaLRsOob4fjxAKdOhnLCanR7+tHp64GhCFt/9RbvvTvIJZcupLa2Am+1WxeuLQEaUHm4XHZcLsfYfjeJeIKR4Sger45DKTXbnE47i5qrWdRcTSQS58SJYY73Did3GjAm77VViYTh9dePjo1R2ew2amrc1NZWUFtbQXWNO2N3ZDU/aEDlkZwo4aL/xPiGbEOBsAaUUnPM5bLT3FxDc3MNkUiMvr4RXnm5K2/Z9GuuEvEEJweCnBwIAsk1BKtrkmFVU1tBTY0be551BFVxmfR/IRH5hIj8InX7NhF5S0S2p75aU8fbRWSniPhF5JbUMV/q2A4ReVJE3BOVLSa65JFSxcXlctDSUnPG7enzSSQMp04GOXJ4gNf/1MPvXz3MH/d003Won/7+EWKxxITPVdY5YwtKROqB54EW4MXU4auAjcaYl9LKfQg4zxizSkRagFdF5DdAO9BmjNklIt8HPiMiB/KVNSa74W6dnHEoDSilisJ1687n11vfIhYdf7uwO4QPrlpCQ4OHUydDZ9yO3iQMg4MhBgeTG5SKCIODIfa/3cfISJTqGhfrrl+ui9pa7IwBZYzpB1aIyF8Af5s6fBVwgYg8BPwe+DLQSjLIMMZ0i0gvsIRkEO1KPe8Z4KNAzQRluwr0umasOnvJo+EIiYTRgVelLJZve/r0FdKNMQSDMQZPhTh1KsipUyHCodMH1rFjQxkTL4YGI2x5eh/vvnOKCy9qxOt14fG6qKzU5Zjm0nTHoJ4HHgd6gZ8DdwMuoD+tzDDgBhJ5jk1UNoOIbAQ2AixZsmSaVZ0el8uBu8Ix9ottEobh4UjOFHSl1Nyb6NoqSLaGqqqcVFU5WdRcjTGGUGg0sJJfoazVYSYz8QKSky88nmRYeVPfPR6XjmfNkikHlCQ/PvzIGBNI3X8M+GugE6hIK1oJhMkc5xo9Fp2gbAZjzGZgM4DP55vzZY+9XnfGJ6/AUFgDqkSsWLGCmpoaAC6//HLuuOMO7r33Xux2O83NzTz22GO43W7a2trYtWsXsViMBx54gFtuKbrhUnUGIkJlpZPKSicLF1UDEA7HOHVyPLAmWtQ2+3ginmBoMMRQqmsw9QOorHQmW1mj4eV14XLpHLSZms6/oA34o4isMMacBK4B3gD2AZ8DvicizUAT8A5wSERajTEdwI2AHzgwQdmiUl3t5kTf8Nh93QK+NASDQerr63n++efHjl199dW0t7ezcuVK7rvvPh5++GGWL19OZ2cnO3fupLu7m9WrV3PzzTfrdOUS4HY7aFropWmhF4Cdv+8a27Mq3ekmXowxhuBIhOBIhOPpz3U58Hhd9B0P8Kc/9TAc0LGtqZpyQBlj4iLyReA5ERkhGTZfM8aEReRWEXkFcJKcGBEXkXuBdhGJAn3AVyYqW7iXVRjerGnlQ0O6cGUp2Lt3LwMDA1x//fWICA8++CCdnZ2sXLkSgJtuuoknnniCwcFBNmzYAEBLSwtNTU0cOXKEpUuXZpxv8+bNbN68GYDjx4+j5p911y/PO/Hi6tXnsmhRNcPDyeWWotHJv01FIjHefetk3rGtw10DnL98ARUVTioqHMmvSicul13HuNJMOqCMMb8Dfpe6/Uvgl3nK3JvnmB9YM5myxSZ7Jt/IcIR4PKH9zfOcy+XiC1/4ArfffjsdHR3cdtttGa0ij8dDOBwmEolQX1+fczzbxo0b2bhxIwA+n2/2X4AquDNNvIDk5ItIJE4gEEkuuTQcIRCI5IxnpZtobGvfvt68wwU2m1BRORpaqe+VDiornLgrHGX33qOdpKfhdNqpqHSO/QIak5woUVNTcYZnqmJ20UUXcdlllwHQ2trKggUL6OjoGHs8GAzidrtxOp2EQqGc46o0nW7iBSTHstxuB263gwULqsaOx2KJsRbW8HCYQCDCSGrW72THtkYlEoaR4eTz83G5k62t470B3njjGCPDUbzVLtZes4z3X9FccgGmAXUGXq874xNSYEgDar5rb28nGo3yT//0Txw7doz+/n6uvPJKOjo6aG1t5bnnnsPn87F8+XJ++MMf8nd/93f09PTQ29vL4sWLra6+KjIOh21sSaVRxhhGRqLs2fPeaTdsnKpIOMa775zMWYvw2Wf+TOfBE5x9di0utwO32z4Wpq602263fV6NoWpAnUF1tYu+tGEFnSgx/91zzz3ccccdXHvttQD86Ec/oqamhra2NpxOJw0NDTz00EO43W62bNnC2rVriUajtLe3Y7dP741FlRcRweNxsf6GC/KObV1z7TIWLzmLUDBGKBQjFIwSCkUntaJFvm5Dk0geb2ryEo3GGQ5M/Hyny47bNR5cxay4a1cEspc8GtIVJeY9j8fDU089lXN8x44dOcc2bdo0F1VSJWoyY1vpotF4MrBC0bHwCgajhEIxwuEYmKl3G+b8jEicaCQOpwmxYqEBdQY5EyVGojpRQik1aWca20rndNpxOu15J1AkEoZwOMZre7oJBHLHqNzT7DYsZhpQZ+Bw2KischEcSf1CGENgKEztWZXWVkwpVVZstuQFwdffkDsl3uG0ceNNF3LBhY2EwzEi4TihcIxIOEY4HE99jxGOxGGCzSCLkQbUJFRXpwUUMBSIaEAppSxxpm7D040rjU6VD48G1iS7Ba2iATUJXq+b3mPjHba6srlSykpT6TZMlz5Vfj7QgZRJyNl6Q2fyKaXUrNOAmgSv1wVpy48ER6LEYsXdNFZKqflOA2oS7HZbxpL7kLw4Timl1OzRgJqk7Gmf2s2nlFKzSwNqknIv2NUWlFJKzSYNqEnSFpRSSs0tDahJ8nidGfu0hILRKe0No5RSamo0oCbJZrPh8WRvYKitKKWUmi0aUFOQcz2UBpRSSs0aDagp8FZntqDyLdiolFKqMDSgpqDaqy0opZSaKxpQU1DlcWGzjU+UGF1wUSmlVOFpQE2BzSY5EyW0m08ppWaHBtQU6UQJpZSaGxpQU6Qrmyul1NzQgJqi7BUlhobCmHm0Q6Waura2NlatWoXP52Pr1q1WV0epsjE/dq0qIlVVTmx2G4l4crvlaCROOBynokL/KUvRs88+S2dnJzt37qS7u5vVq1dz8803Y7PpZzulZpv+lU2RiCT3h0qj3Xylq6Ojgw0bNgDQ0tJCU1MTR44cySizefNmfD4fPp+P48ePW1FNpUqSBtQ06ESJ8hGJRKisrBy77/F4CIcz/3tv3LgRv9+P3++nsbFxrquoVMnSgJqG7At2dU2+0uV0OgmFQmP3g8Egbrf7NM9QShWKBtQ05FvySCdKlKbW1la2bdsGQE9PD729vSxevNjiWilVHnRkfxoqK53YHTbiseREiVg0TigUo7LSeYZnqvnmpptuYsuWLaxdu5ZoNEp7ezt2u93qailVFiYdUCLyCeAWY8ztIuIDNgFxoAf4uDEmLCLtwMrUeb9mjNk6lbIFfWWzKDlRws2pk8GxY4FAWAOqRG3atGnSZbu6uvD5fHkfO378eMHHqObLOWfrvPPlnLN13kKcs6urqzCVmQVnDCgRqQeeB1qAF1OH24E2Y8wuEfk+8BkROQCcZ4xZJSItwKsi8puplDXGJAr/EmeH1+vKDKihCDo+rvr6+iZ8zOfz4ff7C/rz5ss5Z+u88+Wcs3Xe2aprsTjjGJQxpt8YswL4WNrh84wxu1K3nyHZEmolGWQYY7qBXmDJFMvOG9U1OlFCKaVm03QnSaS3dIYBN+ACgnmOT6VsBhHZKCJ+EfEX2/Ul3uytNwK6ooRSShXSdAMq/XmVQBiIAhV5jk+lbAZjzGZjjM8Y4yu260sqKhw4nOOD5fFYgmAwamGNVLHbuHFj2Z5zts47X845W+edrboWC5nsp34R+Qvgb1OTJHYCnzPGdIjId4FO4EDq2IdFpBnYAVyQ+j6pssaY+EQ/3+fzmWLra937px5ODow3BC+6uImmhV4La6SUUvOPiOw2xuTMLpruNPN7gXYRiQJ9wFdSM/NuFZFXACfJiRFxEZl02WnWxTLV1e6MgBoKhDWglFKqQCYdUMaY3wG/S932A2vylLk3z7FJl51vdMkjpZSaPbqSxAzkTpTQFSVUpmAwyEc+8hGuu+461qxZw549ewp6/lgsRmtrK4cPHy7I+VasWMG6detYt24d9913X0HO+cgjj9Da2sqVV17Jgw8+WJBzPvHEE2P1XLduHdXV1QwMDMzonPF4nDvvvJPVq1ezevVqtm/fPuN6RiIRPvWpT3HttdfywQ9+kFdeeWXG5wR49NFHuf322wHw+/2sWrWKNWvWcNttt+WsFTmfaUDNgNttx+kanyiRiCcYGdGJEmrcT3/6U6666ipefPFF/uVf/oUHHnigoOf/zne+w+DgYEHOFQwGqa+vZ/v27Wzfvp3vf//7Mz7n22+/zZNPPonf72fPnj0kEgkSiZlf7vjRj350rJ533XUXDzzwAHV1dTM653PPPUcgEODVV1/lZz/7Gf/4j/8443pu3ryZlpYWXnrpJR555BE+/elPz+h8/f39rFixgvvvv3/sWFtbG+3t7ezYsYOWlhYefvjhGda6eGhAzcDoihLptJtPpbv66qu58847AXj33Xepra0t2Ln3799PZ2cn11xzTUHOt3fvXgYGBrj++utZv349O3funPE5t27dyrJly/jwhz/Mtddey+WXX17QvbTee+89fvKTn/D5z39+xueqq6vj1KlTxONxent7aWhomPE533zzTVatWgXApZdeyuDgID09PdM+X319Pbt37+bxxx8fO9bZ2cnKlSuB5NJcu3btmujp846uxTdD1dVuBvpHxu4PBcIspNrCGqlicuWVVwLJT/y/+c1v+NWvflWQ8xpj+MpXvsK//du/FeSTPoDL5eILX/gCt99+Ox0dHdx2220cPHgQEZn2OXt6eujo6GDbtm0EAgFWr17N2rVrC/LmD/DVr36VL33pSwU511VXXUU0GuXiiy/m6NGjPPbYYzM+5xVXXMEvf/lLPvzhD/Pyyy9z4sSJgnfBpQd+vu1g5jNtQc1QzkSJwdL55VAz19fXRzwe54knnmDPnj188pOfLMh5f/SjH3HrrbcWdG23iy66iI985CNAchX3BQsW8N57783onJWVlfzlX/4lVVVVNDU1sWLFCvbt21eI6hIIBHjppZfGNpScqW9+85usXr2a/fv38+abb3LPPfcwPDw8o3Pedddd1NXVcc011/DUU09x+eWX09TUVJD6jkrvMi217WA0oGYoe3fd4eEIiYROlFBJX/ziF9myZQsAtbW1OByF6bTYvn07P/3pT1m3bh3PPPMMH/vYx2Y8SaC9vZ1vfetbABw7doz+/n4WLlw4o3Nee+217NixA2MMwWCQ119/nQsvvHBG5xz1u9/9jmuuuaZgXYbRaHQs8Ovq6rDZbDNqPQLs3r2b9evX88orr/D3f//31NXVUVVVVYjqjlm2bBkdHR1AchxtosWK5yPt4psht9uB2+0gHI4BkEgYRoYjOS0rVZ6++tWvctddd/Gv//qvhMNhfvjDHxbkvL/4xS/Gbt9555388z//84wnCdxzzz3ccccdXHvttUCyleZ0zmyF/vXr1/Pb3/6WFStW4PF4+PKXvzzj0Bt14MCBgoUdwD/8wz/wiU98gqeeeopQKMQ3vvGNGYfJRRddxNe//nUefPBB3G437e3tBartuE2bNtHW1obT6aShoYGHHnqo4D/DKpNeScJqxbiSxKg33zjGib7xroDlFzbQ3FxjYY2UUmr+mGglCe3iK4Dsbr7AUMSimiilVOnQgCoAXVFCKaUKTwOqAKqzAio5UWLe7L2olFJFSQOqAJxOO+6K8cFkYwzDAV1RQimlZkIDqkCqqzPHoYYC2s2nlFIzoQFVINndfDoOpZRSM6MBVSDZa/INaUAppdSMaEAViDeri29kJEo8rhMllFJqujSgCsThsFNZlXbVvTEEAno9lFJKTZcGVAHp1htKKVU4GlAFlHPBrs7kU0qpadOAKqDqrCWPhnTJI6WUmjYNqALyVrshbXn+4EiEWEwnSiil1HRoQBWQ3W6jqipzewLt5lNKqenRgCqw3At2tZtPKaWmQwOqwPSCXaWUKgwNqALLvmBXu/iUUmp6NKAKzONxIWkTJULBKNFo3MIaKaXU/KQBVWB2u40qT/YOu9qKUkqpqdKAmgXZW2/okkdKKTV1GlCzQCdKKKXUzGlAzQJd8kgppWbOMd0nishuYDB1dy/wM2ATEAd6gI8bY8Ii0g6sTP2srxljtoqIL1/Z6b+M4uLxOBGbYBIGgHAoRiQSw+Wa9j+3UkqVnWm1oESkEug3xqxLfd0HtANtxpg1QDfwGRH5EHCeMWYV8GHgByJiy1e2EC+mWNhsNjzZEyV0HEoppaZkul18lwN1IvJbEdkmIqtIBtGu1OPPkGw1tQLPAxhjuoFeYMkEZXOIyEYR8YuI//jx49OsqjWyV5QYGiyZBqJSSs2J6QZUBPiOMeZ64H7gfwDpq6IOA27ABQTzHM9XNocxZrMxxmeM8TU2Nk6zqtbQcSillJqZ6Q6K/Bl4HcAY0yEiJ0i2lkZVAmEgClTkOW7Lc6ykVOdsXhjBGJNxEa9SSqmJTbcF1QZ8CUBEFgL1wGsiMhpSNwJ+oANYnyrXDDQB7wCH8pQtKVUeJzb7+D9vJBIjEtEVJZRSarKm24L6AfAzEXkpdf+zJGf0tYtIFOgDvpKaxXeriLwCOElOjIiLyL3ZZWf2MoqPiOD1uBgcDI0dCwyFcbt1Jp9SSk3GtN4tjTHDwN/keWhNnrL35jnmz1e21Hir3Rw40EdX1wCRcJyOjve4YcMFXHrZIqurppRSRU8/zs+iY8eG2L+/D5OaEjIyHOXXW98C0JBSSqkz0JUkZtFu/7tj4TQqFk2w7YX9GGOsqZRSSs0TGlCzaKLddIcDUXb91zscOTxAOByb41oppdT8oF18s6im1s3gqdwZ9C63nXAoxuGuAY4cPkn9giqam6s5q65Sp6ErpVSKtqBm0XXrzsfuyAwcscHSpXVj940xnOgb5vW9R/Hvepd3jpzU6ehKKYW2oGbV6ESIF7cfZPBUGG+1i/ddspDKSieJeCKnfCgYpetQP4cPD9DQ4GFRczW1tRXaqlJKlSUNqFl26WWLcmbsxWJxjh0LcLRniJHh3HEqkzAc7w1wvDdAZZWLRc3VLFzoxem0z1W1lVLKchpQFnA47Jx9di0tLTUMDoY52jNI3/FhEoncmX3BkQiHDp7g8KF+Ghq9LGqupqbGra0qpVTJ04CykIhQW1tBbW0F550f59jRAEePDhIcieaUTSQMvceG6D02RJXHRXNzDU0LPTgc2qpSSpUmDagi4XTaOWdxLWefU8OpkyF6eoY40Tec93qpkeEIBw/0cehQP42NHpqba/BWu7RVpZQqKRpQRUZEOKuukrPqKolEYhw7GqCnZ4hwKE+rKp7g2NEhjh0dwut1s6ilmsZGLw6HTs5USs1/GlBFzOVysHjJWZyzuJaBgSBHe4boPzGSt1UVCIQ58HaYQwf7aVzopbm5Gq837zZbSik1L2hAzQMiQn19FfX1VYTDMY4dHeJoz1DeVSji8QRHuwc52j1IdU0Fi5qraWz0YLdrq0opNb9oQM0zbreDJefWsXjJWfT3j9DTPcTAQBDytKqGBkMMDYY4dPAETQurWdRcjcfjsqDWSik1dRpQ85SIsGCBhwULPIRCUY72DHHsaIBIJLdVFYsl6H7vFN3vnaK2toJFzTU0NFZhs2mrSilVvDSgSkBFhZOly+pZcm4d/SdG6OkZ5ORAMG/ZU6dC7N/fx+HDA4RDcTxeJ2vWLOX9V7bgcNh0JqBSqmhoQJUQm01oaPTQ0OghGEy1qo4NEU1b26+3N5CxR9VwIMrzz++nq2uA5pYaKiocVFQ4cVc4xm5XpG7rOJZSai5pQJWoykony86r59ylZ3Gib4SeniFOnQzS1TWQs0eVSUBX1wBNTV6GAxGGA/m3CXG67BmB5U4LMLfbgc2mrS+lVOFoQJU4m81GY5OXxiYvIyMRXnm5K2+5SPjMK6hHI3GikThDg3keFMHtdoyFV3ZLzOWya/ehUmpKNKDKSFWVa8I9qtzuGS6ZZAzhUJRwKMqpPA/bbII7rfWV3RJzOu288frRsZXfa2rdXLfu/JyFdpVS5UMDqsxct+58fr31LWLR8X4+h9PGjTddyIUXNRIKxgiFY4SCUcLhGMFgjHA4RjgUm9E29YmEITgSITiSv/vwxIkR/vzW8bEFcwdPhdn6q30MDAS56KJG7A4bjowvu3YpKlXiNKDKTPYeVdktFZfLQU2e5xljCIdjGQEWCiWDKxSK5Z3ePhUHD57IWc09Hjf8YecRTJ5V3gFs9rTAstuwO2w4ncnvDnsyxBwOGw7n6H1bRtBpl6NSxU0Dqgzl26PqTEQk1S3nzPt4PJ5IhtVoiIWSAZYMsSixWO4GjekmGgM73dhYIp4gEk8Qye2xPDMRHHbBPhpieb7sDhuHuwbw73qH4UAUb7WLNWuXcsmli7DbBbtdEBENOqVmiQaUKgi73UaVx0XVBCtVRKPxsdZW8iszwFxue94wcs10bGwixhCLGWKxBBPlW/aU/MBQhOeefZtDnf00NXmTByUZVHabDZs9+7YNu12w2Ua/J4/le8w+Wib1mM2WLJ8v/HSsTpULDSg1J5xOO06nHW917gK2xhi8XhfPPvs28dh4d57NLlx5ZQsNjV5isTixWIJYLEE89X0mY2KTcaYp+anKE48Z4py+hTgtecLvaM8Qe/ceJREfH6vb8qt9HDs2xNKl9WPBNhpuNpsgNsE2dhtskjqWcTz9OYzdnmzrUENTzQYNKGU5EeGKq87G4bRP+k3OGEMiYYhGRwMrTiyeDK5YNPU9Ph5msdEyaSF3JtPpdiyoPOG3b1/vWDiNSsQNezq6cc7C5pUyYYgJNkk+3tM9yB//2JMTmkePDnHu0rpkIIogwnhopm6LJENTRFLlkudMf9w2ejt13JZ8EJst7RxCznk1NOc/DShVNKYyNiajrYtprm5hjEkLrsyW2WiYVVY5CI7kTv5wV9hxOO3E44kJJ3DMlrkOTZMwxDHET3P6N944ljc0X9vTjctpzY7Px48Ps//tvoxZoVue3sfBAydobqlJCzIAybg/me8w+fKM3k/9nM7OE+z2v8twIIrH62TlBxZzwQWNIJCszmj51O3kt4zzkMzojNvjr2Pi2+N1z3wdxRrmGlCqLInIWLfjRDbceGHeKfkfuumisT/eRMKQSCSIxw3xuCERTxBPGOLxBInR76nHMo6lvmc+J/P5+cJvzsfqJsHylmYehw7158wKTSQM+/f3UVdXaVGt8i819rsXO+l+b3C823iOTRTm+9/uY+Gi6lRASlqAJv9vtPd3POjTAjFVTiTt9niBnLCciAaUUhM405R8IDXeY8cxC39JxoyHWDyeDMKKSifbf3sgY6zObhc+8MHFLFtWnwrM5JcxpL6nH0t9Hy2XVWb8uJl061BDc/ImNa45xyYK84MHT7BgQZUldRplaUCJSDuwMlWPrxljtlpZH6WyTWdKfqGISOparvFjKz+wmKoq55x0xxgzGlwTh1giYXBXOHhx+8HM0HQIH1y1hGXn1WMS4+dKD01j8h1P/7np95PdjYZkfcael7qdSC9jTFGGJhRncBZjnUZZFlAi8iHgPGPMKhFpAV4Vkd8Yk/35QimVbq5Cc2ySwhmG+T7wwSV4PK6iGcMwxlBXX8mvt76VE5rr1y/novc1Jff3NFkBaLKCk/HHyCk30ffx28m6ZD4+0bhmZaWDBQ2e8Z+X/rNTt0n+L+12btnk/dTjqTJkvJ7U6067XaxhDta2oFqB5wGMMd0i0gssAbosrJNSahqsbGlmExEuu7wZESma0Bw10bjmhg9dyCWXLpzz+pwuzDfceAHvu2ThWOilB+B4MCbv5wTi2OHMgBx/LHWf8TDPx8qAcgH9afeHgYyLZERkI7ARYMmSJXNXM6XUvFdMoTlqMuOac6mYwxysDagoUJF2vxIyL+o3xmwGNgP4fL65nc+rlFKzoFiDs9jqBGDlFqkdwHoAEWkGmoB3LKyPUkqpImJZC8oY84yI3CoirwBOoM0YY/20EaWUUkXB0mnmxph7rfz5SimlipeVXXxKKaXUhDSglFJKFSUNKKWUUkVJA0oppVRR0oBSSilVlDSglFJKFSWZ7W2zC0VEjgOHJ1m8AeibxepMh9Zp8oqxXlqnydE6TV4x1suqOp1rjGnMPjhvAmoqRMRvjPFZXY90WqfJK8Z6aZ0mR+s0ecVYr2Krk3bxKaWUKkoaUEoppYpSqQbUZqsrkIfWafKKsV5ap8nROk1eMdarqOpUkmNQSiml5r9SbUEppZSa5zSglFJKFaWSDCgR+YSI/MLqegCIiEdEHheRl0Tk9yJydRHUqVJE/qeIvCgiO0TkKqvrNEpEHCLSISLnWl0XABHZLSLbU1/ft7o+o0TkrtS/02si8k9FUJ+Ppv07bReRIRGps7hOdhH5iYi8mvpaZ2V9UnVyici/p94P/iAia4ugTmPvlyLiE5GdqfeFJ0XEbWXdSiqgRKReRHYD/4/VdUlzN/C2MeZaYCPwPYvrA/BpYI8x5jrg/wS+ZmltMn0BqLG6EpAMcqDfGLMu9XWf1XUCEJELgdsAH3AVYBMRS/+WjTFPjP47AY8AXzPGDFhZJ+BGwGuMWQ3cAfx3i+sDyfeA7tT7wV3AT62qyATvl+0kN49dA3QDn7GkciklFVDGmH5jzArgY1bXJc2bJP9gAQYBu4V1GfV74Cep2+cApyysyxgRuQA4D3jZ6rqkXA7UichvRWSbiKyyukIptwCHgKeBl4C9xpiEtVVKEpGzgTuNMd+1ui7AAFArInagieJYteESYCeAMeYNoEZEmq2oyATvl+cZY3albj8DrJz7mo2zdEfdcmCMeQFARBYDPwe+am2NwBjzGoCIPAHcDPwvllYoWRcBHgL+D4rjky5ABPiOMeYXItIKPCki5xvrp742A63AesALvCoirxhjiuEN+OvAt6yuRMoewAm8BSwCPm5tdQD4I/DXIvI0cA2wALC0Gy1L+gedYSyuW0m1oIqViHwK+BnweWPM1iKoT4OI2I0xHyXZRfRzq+sEfBbYYow5bnVF0vwZ+J8AxpgO4ARwtqU1SgoCvzbGjBhjeoHdwPssrhMi4gWuBZ63ui4pXwZeNcZcQLLl8gMR8Vhcp0dItuxeBv4G2Av0WlqjTOmZUAmEraoIaEDNOhH5K5KfdG8wxvgtrs6obwO3pm6fAmIW1mXUOuDTIrIduAl43OpBdqAN+BKAiCwE6oFjltYo6SVgjSRVApcBb1tcJ4C/AF4ulu5Gkq2n0Q88AyRbB1a3flcA24wxa4H/FxgwxoxYW6UMh1K9BZAcw7P0PUu7+GbfncAS4IVkLxaHjDF3WVslvg48IiL/QLIJ/zmL64Mx5vbR2yLyE+Cfi2CQ/QfAz0TkpdT9zxpjolZWCMAYs01ErifZchoGvmmMKYbgXE5xBOWofwUeFZG/ASqA/6sIwuDPwFdTMy/DJD8EFZN7gXYRiZIcs/uKlZXRlSSUUkoVJe3iU0opVZQ0oJRSShUlDSillFJFSQNKKaVUUdKAUkopVZQ0oJRSShUlDSillFJF6f8Hw0qW21Sv27QAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "c_list = ['black', plt.cm.Blues(0.6), plt.cm.Purples(0.6), 'tab:cyan', 'tab:pink', 'tab:orange']\n",
    "frame = [result, snp_rec, del_rec, ins_rec, dnp_rec, onp_rec]\n",
    "title_list = ['All Mutations', 'SNP', 'DEL', 'INS', 'DNP', 'ONP']\n",
    "for idx, val in enumerate(frame):\n",
    "    g = np.array(val['num_occur'])\n",
    "    unique, counts = np.unique(g, return_counts=True)\n",
    "    cum_sum = [sum(counts[i:]) for i in range(len(counts))] \n",
    "\n",
    "    fig, ax1 = plt.subplots(figsize=(6,4))\n",
    "    ax1.plot(unique, cum_sum, linewidth=4, alpha=0.5, c=c_list[idx])\n",
    "    ax1.scatter(unique, cum_sum, c=c_list[idx])\n",
    "    ax1.set_xlabel('≥ # Patients with Mutation', fontsize=15)\n",
    "    ax1.set_ylabel('Unique mutations', fontsize=15)\n",
    "    ax1.set_xlabel('', fontsize=15)\n",
    "    ax1.set_ylabel('', fontsize=15)\n",
    "    ax1.set_xlim(0.7,10.8)\n",
    "    ax1.set_xticks(range(1,11),fontsize=15)\n",
    "    #ax1.set_xticklabels(['','','','','','','','','',''])\n",
    "\n",
    "\n",
    "    #ax1.set_yticklabels(fontsize=12)\n",
    "    \n",
    "    ax1.set_title(title_list[idx], fontsize=15)\n",
    "    \n",
    "    \n",
    "\n",
    "    fig.tight_layout()\n",
    "\n",
    "\n",
    "#fig, ax1 = plt.subplots()\n",
    "\n",
    "# These are in unitless percentages of the figure size. (0,0 is bottom left)\n",
    "    left, bottom, width, height = [0.5, 0.4, 0.4, 0.4]\n",
    "    ax2 = fig.add_axes([left, bottom, width, height])\n",
    "    ax2.plot(unique[2:], cum_sum[2:], linewidth=4, alpha=0.5, c=c_list[idx])\n",
    "    ax2.scatter(unique[2:], cum_sum[2:], c=c_list[idx])\n",
    "    #ax2.set_xlabel('≥ # Patients with Mutation', fontsize=15)\n",
    "    #ax2.set_ylabel('Unique mutations', fontsize=15)\n",
    "    ax2.set_xlim(2.7,10.8)\n",
    "    ax2.set_xticks(range(3,11),fontsize=15)\n",
    "    #ax2.set_xticklabels(['','','','','','','',''])\n",
    "    \n",
    "    #fig.savefig(title_list[idx] + '_nolabels.png', dpi=250)\n",
    "\n",
    "#ax1.plot(range(10), color='red')\n",
    "    #ax2.plot(range(6)[::-1], color='green')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Generating Figures Based on recurrent mutations\n",
    "### Base Editing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "###\n",
    "min_patients=10\n",
    "\n",
    "atleast2 = result[result['num_occur']>=min_patients]\n",
    "index2 = np.array(atleast2['indeces'])\n",
    "idx_list = []\n",
    "for i in index2: #lazy way of doing this...\n",
    "    ints = re.findall(r'\\d+', i)\n",
    "    for k in ints:\n",
    "        idx_list.append(int(k))\n",
    "\n",
    "idx_list = np.unique(idx_list)\n",
    "\n",
    "#filtered BE figure\n",
    "var_types = np.array(impact_data['Variant_Type'])\n",
    "var_types = [var_types[i] for i in idx_list]\n",
    "val, cou = np.unique(np.array(var_types), return_counts=True)\n",
    "snp_idx = list(val).index('SNP')\n",
    "num_snp = cou[snp_idx]\n",
    "mut_types=cou\n",
    "\n",
    "\n",
    "#loading in coverage information\n",
    "filepath = '/Volumes/Sam_G_SSD/BE coverage quant NGG/'\n",
    "CBEproto = np.load(filepath + 'CBE_proto.npy')\n",
    "CBEideal = np.load(filepath + 'CBE_ideal.npy')\n",
    "ABEproto = np.load(filepath + 'ABE_proto.npy')\n",
    "ABEideal = np.load(filepath + 'ABE_ideal.npy')\n",
    "\n",
    "CBEproto = [CBEproto[i] for i in idx_list]\n",
    "CBEideal = [CBEideal[i] for i in idx_list]\n",
    "ABEproto = [ABEproto[i] for i in idx_list]\n",
    "ABEideal = [ABEideal[i] for i in idx_list]\n",
    "\n",
    "\n",
    "perc_snp = np.round((100*(num_snp/sum(mut_types))), 1)\n",
    "perc_non_snp = np.round(100-perc_snp, 1)\n",
    "\n",
    "# Make data: I have 3 groups and 7 subgroups\n",
    "group_names=['SNP – ' + str(perc_snp)+ '%', 'Other mutation \\n type – ' + str(perc_non_snp)+ '%'] #\n",
    "#group_names=['', '']\n",
    "snp_unrecorded = []\n",
    "group_size=[num_snp-len(snp_unrecorded), sum(mut_types)-num_snp-len(snp_unrecorded)] #excluding missing SNPs\n",
    "subgroup_names=['CBE high', 'CBE low', 'ABE high', 'ABE low', '']\n",
    "#subgroup_names=['', '', '', '', '']\n",
    "\n",
    "\n",
    "\n",
    "subgroup_size = [sum(CBEideal), sum(CBEproto)-sum(CBEideal), sum(ABEideal), sum(ABEproto)-sum(ABEideal), sum(mut_types)-sum(CBEproto)-sum(ABEproto)-len(snp_unrecorded)]\n",
    "#subgroup_size=[4,3,5,6,5,10,5,5,4,6]\n",
    " \n",
    "# Create colors\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    "\n",
    "# First Ring (outside)\n",
    "fig, ax = plt.subplots(figsize=(12,10))\n",
    "ax.axis('equal')\n",
    "mypie, _ = ax.pie(group_size, radius=1.3, labels=group_names, colors=[a(0.6), 'tab:gray', c(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie, width=0.3, edgecolor='white')\n",
    " \n",
    "# Second Ring (Inside)\n",
    "mypie2, _ = ax.pie(subgroup_size, radius=1.3-0.3, labels=subgroup_names, labeldistance=0.68, colors=[d(0.4), d(0.2), a(0.4), a(0.2), b(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie2, width=0.4, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "# show it\n",
    "plt.title(\"≥\" + str(min_patients) + ' Patients with Mutation', pad=20, fontsize=15)\n",
    "#plt.tight_layout()\n",
    "\n",
    "plt.savefig('patients_BE_label_min'+str(min_patients)+'.png', dpi=250)\n",
    "\n",
    "plt.show()\n",
    "#print(100*(subgroup_size/sum(subgroup_size)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_patients=range(10)\n",
    "normed = []\n",
    "for min_patients in range(1,11):\n",
    "    atleast2 = result[result['num_occur']>=min_patients]\n",
    "    index2 = np.array(atleast2['indeces'])\n",
    "    idx_list = []\n",
    "    for i in index2: #lazy way of doing this...\n",
    "        ints = re.findall(r'\\d+', i)\n",
    "        for k in ints:\n",
    "            idx_list.append(int(k))\n",
    "\n",
    "    idx_list = np.unique(idx_list)\n",
    "\n",
    "    #filtered BE figure\n",
    "    var_types = np.array(impact_data['Variant_Type'])\n",
    "    var_types = [var_types[i] for i in idx_list]\n",
    "    val, cou = np.unique(np.array(var_types), return_counts=True)\n",
    "    snp_idx = list(val).index('SNP')\n",
    "    num_snp = cou[snp_idx]\n",
    "    mut_types=cou\n",
    "\n",
    "    #loading in coverage information\n",
    "    filepath = '/Volumes/Sam_G_SSD/BE coverage quant NGG/'\n",
    "    CBEproto = np.load(filepath + 'CBE_proto.npy')\n",
    "    CBEideal = np.load(filepath + 'CBE_ideal.npy')\n",
    "    ABEproto = np.load(filepath + 'ABE_proto.npy')\n",
    "    ABEideal = np.load(filepath + 'ABE_ideal.npy')\n",
    "\n",
    "    CBEproto = [CBEproto[i] for i in idx_list]\n",
    "    CBEideal = [CBEideal[i] for i in idx_list]\n",
    "    ABEproto = [ABEproto[i] for i in idx_list]\n",
    "    ABEideal = [ABEideal[i] for i in idx_list]\n",
    "\n",
    "    a1 = [sum(CBEideal), sum(ABEideal), sum(CBEproto)-sum(CBEideal), sum(ABEproto)-sum(ABEideal)]\n",
    "    a1_normed = np.asarray(a1)/sum(mut_types)\n",
    "    normed.append(a1_normed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 179,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.33820775, 0.43876229, 0.4347875 , 0.41601272, 0.40330407,\n",
       "       0.39648356, 0.39313658, 0.39346129, 0.39507892, 0.39558071])"
      ]
     },
     "execution_count": 179,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.array(normed)[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    "colors=[d(0.4), d(0.2), a(0.4), a(0.2)]\n",
    "plt.bar(range(1,11), 100*np.array(normed)[:,0], label='CBE high', color=colors[0])\n",
    "plt.bar(range(1,11), 100*np.array(normed)[:,1], color=colors[2], bottom=100*np.array(normed)[:,0], label='ABE high')\n",
    "plt.bar(range(1,11), 100*np.array(normed)[:,2], color=colors[1], bottom=100*np.array(normed)[:,0]+100*np.array(normed)[:,1], label='CBE low')\n",
    "plt.bar(range(1,11), 100*np.array(normed)[:,3], color=colors[3], bottom=100*np.array(normed)[:,0]+100*np.array(normed)[:,1]+100*np.array(normed)[:,2], label='ABE low')\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#plt.legend(fontsize=15)\n",
    "#plt.title('flank size = +/- 0', fontsize=15)\n",
    "plt.xticks(range(1,11),fontsize=15);\n",
    "plt.yticks(fontsize=15);\n",
    "#ax.set_xticklabels(['','','','','','','','','',''])\n",
    "#ax.set_yticklabels(['','','','','',''])\n",
    "plt.ylabel('Total Percent Coverage', fontsize=15)\n",
    "plt.xlabel('≥ # Patients with Mutation', fontsize=15)\n",
    "#plt.ylabel('', fontsize=15)\n",
    "#plt.xlabel('', fontsize=15)\n",
    "\n",
    "\n",
    "#for i in range(len(mut_types[0:6])):\n",
    "#    plt.text(i, homologous[i] + non_homologous[i]+5000, str(np.round(100*(homologous[i]/(homologous[i] + non_homologous[i])), 1)) + '%', ha = 'center', fontsize=13)\n",
    "\n",
    "plt.ylim(0,100)\n",
    "plt.tight_layout() \n",
    "#plt.savefig('BE_recur_bar_NGG_nolabels.png', dpi=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Prime Editing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "filepath = '/Volumes/Sam_G_SSD/PE coverage quant NGG/MSK_PE_coverage_NGG_rt_1to50.npy'\n",
    "cover_list = np.load(filepath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "snps_pe = 0\n",
    "non_snps_pe = 0\n",
    "\n",
    "g = cover_list[rt_len] #= RT template length of 15\n",
    "g = [g[i] for i in idx_list]\n",
    "var_types = np.array(impact_data['Variant_Type'])\n",
    "var_types = [var_types[i] for i in idx_list]\n",
    "\n",
    "for i in range(len(idx_list)):\n",
    "    if var_types[i]=='SNP':\n",
    "        if g[i]==1:\n",
    "            snps_pe +=1\n",
    "        else:\n",
    "            continue\n",
    "    else:\n",
    "        if g[i]==1:\n",
    "            non_snps_pe +=1\n",
    "        else:\n",
    "            continue\n",
    "        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9610647972716938"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(snps_pe+non_snps_pe)/(sum(mut_types[0:]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "SNP = np.asarray(impact_data[impact_data['Variant_Type']=='SNP'].index)\n",
    "\n",
    "rt_len = 30-1\n",
    "\n",
    "g = cover_list[rt_len] #= RT template length of 15\n",
    "\n",
    "min_patients=10\n",
    "\n",
    "atleast2 = result[result['num_occur']>=min_patients]\n",
    "index2 = np.array(atleast2['indeces'])\n",
    "idx_list = []\n",
    "for i in index2: #lazy way of doing this...\n",
    "    ints = re.findall(r'\\d+', i)\n",
    "    for k in ints:\n",
    "        idx_list.append(int(k))\n",
    "\n",
    "idx_list = np.unique(idx_list)\n",
    "\n",
    "#filtered BE figure\n",
    "var_types = np.array(impact_data['Variant_Type'])\n",
    "var_types = [var_types[i] for i in idx_list]\n",
    "val, cou = np.unique(np.array(var_types), return_counts=True)\n",
    "snp_idx = list(val).index('SNP')\n",
    "num_snp = cou[snp_idx]\n",
    "mut_types=cou\n",
    "\n",
    "# Make data: I have 3 groups and 7 subgroups\n",
    "perc_snp = np.round((100*(num_snp/sum(mut_types))), 1)\n",
    "perc_non_snp = np.round(100-perc_snp, 1)\n",
    "\n",
    "# Make data: I have 3 groups and 7 subgroups\n",
    "group_names=['SNP – ' + str(perc_snp)+ '%', 'Other mutation \\n type – ' + str(perc_non_snp)+ '%'] #\n",
    "#group_names=['',''] #\n",
    "\n",
    "\n",
    "group_size = [num_snp, sum(mut_types[0:])-num_snp]\n",
    "\n",
    "#subgroup_names=['editable', 'non-editable', 'non-editable','editable']\n",
    "\n",
    "    \n",
    "#sum1 = ONP1[rt_len]+DNP1[rt_len]+INS1[rt_len]+ DEL1[rt_len] + TNP1[rt_len]\n",
    "\n",
    "g = [g[i] for i in idx_list]\n",
    "\n",
    "\n",
    "snps_pe = 0\n",
    "non_snps_pe = 0\n",
    "\n",
    "g = cover_list[rt_len] #= RT template length of 15\n",
    "g = [g[i] for i in idx_list]\n",
    "var_types = np.array(impact_data['Variant_Type'])\n",
    "var_types = [var_types[i] for i in idx_list]\n",
    "\n",
    "for i in range(len(idx_list)):\n",
    "    if var_types[i]=='SNP':\n",
    "        if g[i]==1:\n",
    "            snps_pe +=1\n",
    "        else:\n",
    "            continue\n",
    "    else:\n",
    "        if g[i]==1:\n",
    "            non_snps_pe +=1\n",
    "        else:\n",
    "            continue\n",
    "\n",
    "subgroup_size = [num_snp - snps_pe, snps_pe+ non_snps_pe, sum(mut_types[0:]) - num_snp - non_snps_pe]\n",
    "                 \n",
    "\n",
    "\n",
    "perc= np.round(100*np.asarray(subgroup_size)/sum(subgroup_size),1)\n",
    "subgroup_names=['', str(perc[1])+'%', '']\n",
    "#subgroup_names=['','', '']\n",
    "\n",
    "\n",
    "    \n",
    "# Create colors\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    " \n",
    "# First Ring (outside)\n",
    "fig, ax = plt.subplots(figsize=(12,10))\n",
    "ax.axis('equal')\n",
    "mypie, _ = ax.pie(group_size, radius=1.3, labels=group_names, colors=[a(0.6), 'tab:gray', c(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie, width=0.3, edgecolor='white')\n",
    " \n",
    "# Second Ring (Inside)\n",
    "mypie2, _ = ax.pie(subgroup_size, radius=1.3-0.3, labels=subgroup_names, labeldistance=0.7, colors=[ b(0.6),c(0.6), b(0.6),c(0.6), b(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie2, width=0.4, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "\n",
    "ax.set_title('RT Template Length = ' + str(rt_len+1) + '\\n ≥' + str(min_patients) + ' Patients with Mutation', pad=20, fontsize=15)\n",
    "# show it\n",
    "#plt.tight_layout()\n",
    "#plt.savefig('patients_PE_NGG_min_nolabel_'+str(min_patients)+'.png', dpi=250)\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "SNP = np.asarray(impact_data[impact_data['Variant_Type']=='SNP'].index)\n",
    "\n",
    "g = cover_list[30-1] #= RT template length of 15\n",
    "\n",
    "cover = []\n",
    "for min_patients in range(1,11):\n",
    "\n",
    "    atleast2 = result[result['num_occur']>=min_patients]\n",
    "    index2 = np.array(atleast2['indeces'])\n",
    "    idx_list = []\n",
    "    for i in index2: #lazy way of doing this...\n",
    "        ints = re.findall(r'\\d+', i)\n",
    "        for k in ints:\n",
    "            idx_list.append(int(k))\n",
    "\n",
    "    idx_list = np.unique(idx_list)\n",
    "\n",
    "    #filtered BE figure\n",
    "    var_types = np.array(impact_data['Variant_Type'])\n",
    "    var_types = [var_types[i] for i in idx_list]\n",
    "    val, cou = np.unique(np.array(var_types), return_counts=True)\n",
    "    snp_idx = list(val).index('SNP')\n",
    "    num_snp = cou[snp_idx]\n",
    "    mut_types=cou\n",
    "    \n",
    "    g = cover_list[30-1] #= RT template length of 15\n",
    "    g = [g[i] for i in idx_list]\n",
    "\n",
    "    subgroup_size = [sum(g), sum(mut_types[0:])-sum(g)]\n",
    "    perc= 100*np.asarray(subgroup_size)/sum(subgroup_size)\n",
    "\n",
    "    cover.append(perc[0])\n",
    "    \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    "\n",
    "plt.bar(range(1,11), cover,  color=c(0.6))\n",
    "\n",
    "\n",
    "#plt.title('flank size = +/- 0', fontsize=15)\n",
    "plt.xticks(range(1,11),fontsize=15);\n",
    "#ax.set_xticklabels(['','','','','','','','','',''])\n",
    "#ax.set_yticklabels(['','','','','',''])\n",
    "\n",
    "\n",
    "plt.yticks(fontsize=15);\n",
    "plt.ylabel('Total Percent Coverage', fontsize=15)\n",
    "plt.xlabel('≥ # Patients with Mutation', fontsize=15)\n",
    "#plt.ylabel('', fontsize=15)\n",
    "#plt.xlabel('', fontsize=15)\n",
    "\n",
    "\n",
    "\n",
    "#for i in range(len(mut_types[0:6])):\n",
    "#    plt.text(i, homologous[i] + non_homologous[i]+5000, str(np.round(100*(homologous[i]/(homologous[i] + non_homologous[i])), 1)) + '%', ha = 'center', fontsize=13)\n",
    "\n",
    "plt.ylim(0,100)\n",
    "plt.tight_layout() \n",
    "#plt.savefig('PE_bar_NGG_nolabels.png',dpi=250)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Now looking at different orthologous recurrent mutations \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "flank_size=0\n",
    "i = flank_size\n",
    "path = '/Volumes/Sam_G_SSD/'\n",
    "df = pd.read_csv(path+'flanksize_' + str(i) +'.csv')\n",
    "mut_types = np.unique(df['variant_type'])\n",
    "\n",
    "\n",
    "filepath = '/Volumes/Sam_G_SSD/BE coverage quant NGG/'\n",
    "CBEproto = np.load(filepath + 'CBE_proto.npy')\n",
    "CBEideal = np.load(filepath + 'CBE_ideal.npy')\n",
    "ABEproto = np.load(filepath + 'ABE_proto.npy')\n",
    "ABEideal = np.load(filepath + 'ABE_ideal.npy')\n",
    "\n",
    "df['CBEproto']=CBEproto\n",
    "df['CBEideal']=CBEideal\n",
    "df['ABEproto']=ABEproto\n",
    "df['ABEideal']=ABEideal\n",
    "df['BE_total'] = CBEproto+ABEproto\n",
    "\n",
    "filepath = '/Volumes/Sam_G_SSD/PE coverage quant NGG/MSK_PE_coverage_NGG_rt_1to50.npy'\n",
    "cover_list = np.load(filepath)\n",
    "df['PEcover_rt30'] = cover_list[29]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>homologous</th>\n",
       "      <th>non_homologous</th>\n",
       "      <th>coding_mutations</th>\n",
       "      <th>non_coding_mutations</th>\n",
       "      <th>excluded_mutations</th>\n",
       "      <th>aa_concordant</th>\n",
       "      <th>dna_concordant</th>\n",
       "      <th>original_aa</th>\n",
       "      <th>new_aa_h</th>\n",
       "      <th>new_aa_m</th>\n",
       "      <th>variant_type</th>\n",
       "      <th>CBEproto</th>\n",
       "      <th>CBEideal</th>\n",
       "      <th>ABEproto</th>\n",
       "      <th>ABEideal</th>\n",
       "      <th>BE_total</th>\n",
       "      <th>PEcover_rt30</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>SNP</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>S</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>DEL</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>M</td>\n",
       "      <td>T</td>\n",
       "      <td>T</td>\n",
       "      <td>SNP</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>INS</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Q</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>DEL</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422817</th>\n",
       "      <td>422817</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>S</td>\n",
       "      <td>C</td>\n",
       "      <td>S</td>\n",
       "      <td>SNP</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422818</th>\n",
       "      <td>422818</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>P</td>\n",
       "      <td>A</td>\n",
       "      <td>G</td>\n",
       "      <td>SNP</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422819</th>\n",
       "      <td>422819</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>P</td>\n",
       "      <td>L</td>\n",
       "      <td>L</td>\n",
       "      <td>SNP</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422820</th>\n",
       "      <td>422820</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>none</td>\n",
       "      <td>SNP</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422821</th>\n",
       "      <td>422821</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>P</td>\n",
       "      <td>Q</td>\n",
       "      <td>D</td>\n",
       "      <td>SNP</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>422822 rows × 18 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        Unnamed: 0  homologous  non_homologous  coding_mutations  \\\n",
       "0                0         0.0             0.0               0.0   \n",
       "1                1         1.0             0.0               1.0   \n",
       "2                2         1.0             0.0               1.0   \n",
       "3                3         0.0             1.0               1.0   \n",
       "4                4         1.0             0.0               1.0   \n",
       "...            ...         ...             ...               ...   \n",
       "422817      422817         1.0             0.0               1.0   \n",
       "422818      422818         1.0             0.0               1.0   \n",
       "422819      422819         1.0             0.0               1.0   \n",
       "422820      422820         0.0             0.0               0.0   \n",
       "422821      422821         1.0             0.0               1.0   \n",
       "\n",
       "        non_coding_mutations  excluded_mutations  aa_concordant  \\\n",
       "0                        1.0                 0.0            0.0   \n",
       "1                        0.0                 0.0            1.0   \n",
       "2                        0.0                 0.0            1.0   \n",
       "3                        0.0                 0.0            0.0   \n",
       "4                        0.0                 0.0            1.0   \n",
       "...                      ...                 ...            ...   \n",
       "422817                   0.0                 0.0            0.0   \n",
       "422818                   0.0                 0.0            0.0   \n",
       "422819                   0.0                 0.0            1.0   \n",
       "422820                   1.0                 0.0            0.0   \n",
       "422821                   0.0                 0.0            0.0   \n",
       "\n",
       "        dna_concordant original_aa new_aa_h new_aa_m variant_type  CBEproto  \\\n",
       "0                  0.0        none     none     none          SNP       0.0   \n",
       "1                  0.0           S     none     none          DEL       0.0   \n",
       "2                  1.0           M        T        T          SNP       0.0   \n",
       "3                  0.0        none     none     none          INS       0.0   \n",
       "4                  0.0           Q     none     none          DEL       0.0   \n",
       "...                ...         ...      ...      ...          ...       ...   \n",
       "422817             0.0           S        C        S          SNP       0.0   \n",
       "422818             0.0           P        A        G          SNP       0.0   \n",
       "422819             1.0           P        L        L          SNP       1.0   \n",
       "422820             0.0        none     none     none          SNP       0.0   \n",
       "422821             0.0           P        Q        D          SNP       0.0   \n",
       "\n",
       "        CBEideal  ABEproto  ABEideal  BE_total  PEcover_rt30  \n",
       "0            0.0       0.0       0.0       0.0           0.0  \n",
       "1            0.0       0.0       0.0       0.0           1.0  \n",
       "2            0.0       1.0       0.0       1.0           1.0  \n",
       "3            0.0       0.0       0.0       0.0           1.0  \n",
       "4            0.0       0.0       0.0       0.0           1.0  \n",
       "...          ...       ...       ...       ...           ...  \n",
       "422817       0.0       0.0       0.0       0.0           1.0  \n",
       "422818       0.0       0.0       0.0       0.0           1.0  \n",
       "422819       0.0       0.0       0.0       1.0           1.0  \n",
       "422820       0.0       0.0       0.0       0.0           1.0  \n",
       "422821       0.0       0.0       0.0       0.0           1.0  \n",
       "\n",
       "[422822 rows x 18 columns]"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prime Editing orthology in recurrent mutations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##input parameter________________________________________________________________\n",
    "\n",
    "min_patients=5\n",
    "\n",
    "##generating dataframe________________________________________________________________\n",
    "\n",
    "atleast2 = result[result['num_occur']>=min_patients]\n",
    "index2 = np.array(atleast2['indeces'])\n",
    "idx_list = []\n",
    "for i in index2: #lazy way of doing this...\n",
    "    ints = re.findall(r'\\d+', i)\n",
    "    for k in ints:\n",
    "        idx_list.append(int(k))\n",
    "\n",
    "idx_list = np.unique(idx_list)\n",
    "\n",
    "recur_binary = np.zeros(len(df))\n",
    "for i in idx_list:\n",
    "    recur_binary[i]+=1\n",
    "    \n",
    "df['recur']=recur_binary\n",
    "\n",
    "recurrent = df[df['recur']==1]\n",
    "\n",
    "###plotting________________________________________________________________\n",
    "snps = recurrent[recurrent['variant_type']=='SNP']\n",
    "snps_true = snps[snps['excluded_mutations']==0]\n",
    "\n",
    "non_snps = recurrent[recurrent['variant_type']!='SNP']\n",
    "non_snps_true = non_snps[non_snps['excluded_mutations']==0]\n",
    "\n",
    "excl = sum(recurrent['excluded_mutations'])\n",
    "snps_perc = np.round(100*len(snps_true)/len(recurrent), 1)\n",
    "excl_perc = np.round(100*excl/len(recurrent), 1)\n",
    "non_snps_perc = np.round(100*(len(recurrent)-excl-len(snps_true))/len(recurrent), 1)\n",
    "\n",
    "group_names=['SNP – ' + str(snps_perc) + '%', 'Other mutation \\n type – ' + str(non_snps_perc) + '%', 'Excluded \\nMutations – '+ str(excl_perc) + '%'] #\n",
    "#group_names=['','','']\n",
    "\n",
    "\n",
    "snp_unrecorded = []\n",
    "group_size=[len(snps_true), len(non_snps_true), excl] #excluding missing SNPs\n",
    "\n",
    "snps_coding = sum(np.array(snps_true['coding_mutations']))\n",
    "snp_noncoding = sum(np.array(snps_true['non_coding_mutations']))\n",
    "\n",
    "non_snps_coding = sum(np.array(non_snps_true['coding_mutations']))\n",
    "non_snps_noncoding = sum(np.array(non_snps_true['non_coding_mutations']))\n",
    "\n",
    "subgroup_size = [snps_coding,snp_noncoding, non_snps_coding,non_snps_noncoding, excl]\n",
    "snpprct = np.round(100*snps_coding/len(snps_true), 1)\n",
    "nsnpprct = np.round(100*non_snps_coding/len(non_snps_true), 1)\n",
    "subgroup_names=[str(snpprct) + '%', '', str(nsnpprct) + '%', '', '']\n",
    "#subgroup_names=['', '', '', '', '']\n",
    "\n",
    "\n",
    "\n",
    "# Create colors\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    " \n",
    "# First Ring (outside)\n",
    "fig, ax = plt.subplots(figsize=(14,10))\n",
    "ax.axis('equal')\n",
    "mypie, _ = ax.pie(group_size, radius=1.3, labels=group_names, colors=[a(0.6), 'tab:gray',b(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie, width=0.25, edgecolor='white')\n",
    " \n",
    "# Second Ring (Inside)\n",
    "mypie2, _ = ax.pie(subgroup_size, radius=1.3-0.25, labels=subgroup_names, labeldistance=0.80, colors=[c(0.6), b(0.6), c(0.6), b(0.6), 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie2, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "\n",
    "#third ring (smalles)\n",
    "homo_snp = snps_true[snps_true['homologous']==1]\n",
    "homo_and_model = homo_snp[homo_snp['PEcover_rt30']==1]\n",
    "homo_nonsnp = non_snps_true[non_snps_true['homologous']==1]\n",
    "homo_and_model_ns = homo_nonsnp[homo_nonsnp['PEcover_rt30']==1]\n",
    "\n",
    "snps_homo = sum(np.array(homo_and_model['homologous']))\n",
    "snps_nonhomo = snps_coding - snps_homo\n",
    "non_snps_homo = sum(np.array(homo_and_model_ns['homologous']))\n",
    "non_snps_nonhomo = non_snps_coding - non_snps_homo\n",
    "\n",
    "snp_perc1 = np.round(100*snps_homo/(snps_homo+snps_nonhomo),1)\n",
    "non_snp_perc1 = np.round(100*non_snps_homo/(non_snps_homo+non_snps_nonhomo),1)\n",
    "\n",
    "subgroup_size2 = [snps_homo, snps_nonhomo, snp_noncoding,  non_snps_homo, non_snps_nonhomo, non_snps_noncoding, excl]\n",
    "subgroup_names2=[str(snp_perc1) + '%', '','', str(non_snp_perc1) + '%', '','', '']\n",
    "#subgroup_names2=['', '','', '', '','', '']\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "mypie3, _ = ax.pie(subgroup_size2, radius=1.3-0.5, labels=subgroup_names2, labeldistance=0.75, colors=[c(0.4), b(0.6),'white', c(0.4), b(0.6), 'white', 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie3, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "#plt.legend()\n",
    " \n",
    "# show it\n",
    "#plt.tight_layout()\n",
    "ax.set_title('RT Template Length = 30\\n ≥' + str(min_patients) + ' Patients with Mutation', pad=20, fontsize=15)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#fig.savefig('PE_donut_recur_nolabel' + str(min_patients)+'.png', dpi=250)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Base editing orthology in recurrent mutations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##generating dataframe\n",
    "min_patients=5\n",
    "\n",
    "atleast2 = result[result['num_occur']>=min_patients]\n",
    "index2 = np.array(atleast2['indeces'])\n",
    "idx_list = []\n",
    "for i in index2: #lazy way of doing this...\n",
    "    ints = re.findall(r'\\d+', i)\n",
    "    for k in ints:\n",
    "        idx_list.append(int(k))\n",
    "\n",
    "idx_list = np.unique(idx_list)\n",
    "\n",
    "recur_binary = np.zeros(len(df))\n",
    "for i in idx_list:\n",
    "    recur_binary[i]+=1\n",
    "    \n",
    "df['recur']=recur_binary\n",
    "\n",
    "recurrent = df[df['recur']==1]\n",
    "\n",
    "###plotting\n",
    "snps = recurrent[recurrent['variant_type']=='SNP']\n",
    "snps_true = snps[snps['excluded_mutations']==0]\n",
    "\n",
    "non_snps = recurrent[recurrent['variant_type']!='SNP']\n",
    "non_snps_true = non_snps[non_snps['excluded_mutations']==0]\n",
    "\n",
    "excl = sum(recurrent['excluded_mutations'])\n",
    "snps_perc = np.round(100*len(snps_true)/len(recurrent), 1)\n",
    "excl_perc = np.round(100*excl/len(recurrent), 1)\n",
    "non_snps_perc = np.round(100*(len(recurrent)-excl-len(snps_true))/len(recurrent), 1)\n",
    "\n",
    "\n",
    "#alternate version\n",
    "group_names=['SNP – ' + str(snps_perc) + '%', 'Other mutation \\n type – ' + str(non_snps_perc) + '%', 'Excluded \\nMutations – '+ str(excl_perc) + '%'] #\n",
    "#group_names = ['','','']\n",
    "snp_unrecorded = []\n",
    "group_size=[len(snps_true), len(non_snps_true), excl] #excluding missing SNPs\n",
    "\n",
    "snps_coding = sum(np.array(snps_true['coding_mutations']))\n",
    "snp_noncoding = sum(np.array(snps_true['non_coding_mutations']))\n",
    "\n",
    "non_snps_coding = sum(np.array(non_snps_true['coding_mutations']))\n",
    "non_snps_noncoding = sum(np.array(non_snps_true['non_coding_mutations']))\n",
    "\n",
    "subgroup_size = [snps_coding,snp_noncoding, non_snps_coding,non_snps_noncoding, excl]\n",
    "snpprct = np.round(100*snps_coding/len(snps_true), 1)\n",
    "nsnpprct = np.round(100*non_snps_coding/len(non_snps_true), 1)\n",
    "subgroup_names=[str(snpprct) + '%', '', '', '', '']\n",
    "#subgroup_names=['', '', '', '', '']\n",
    "\n",
    "\n",
    " \n",
    "# Create colors\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    " \n",
    "# First Ring (outside)\n",
    "fig, ax = plt.subplots(figsize=(14,10))\n",
    "ax.axis('equal')\n",
    "mypie, _ = ax.pie(group_size, radius=1.3, labels=group_names, colors=[a(0.6), 'tab:gray',b(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie, width=0.25, edgecolor='white')\n",
    " \n",
    "# Second Ring (Inside)\n",
    "mypie2, _ = ax.pie(subgroup_size, radius=1.3-0.25, labels=subgroup_names, labeldistance=0.80, colors=[c(0.6), b(0.6), 'white', 'white', 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie2, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "\n",
    "#third ring (smalles)\n",
    "homo_snp = snps_true[snps_true['homologous']==1]\n",
    "homo_and_model = homo_snp[homo_snp['BE_total']==1]\n",
    "homo_nonsnp = non_snps_true[non_snps_true['homologous']==1]\n",
    "homo_and_model_ns = homo_nonsnp[homo_nonsnp['PEcover_rt30']==1]\n",
    "\n",
    "snps_homo = sum(np.array(homo_and_model['homologous']))\n",
    "snps_nonhomo = snps_coding - snps_homo\n",
    "non_snps_homo = sum(np.array(homo_and_model_ns['homologous'])) #these are inaccurate but doesn't matter\n",
    "non_snps_nonhomo = non_snps_coding - non_snps_homo\n",
    "\n",
    "snp_perc1 = np.round(100*snps_homo/(snps_homo+snps_nonhomo),1)\n",
    "non_snp_perc1 = np.round(100*non_snps_homo/(non_snps_homo+non_snps_nonhomo),1)\n",
    "\n",
    "subgroup_size2 = [snps_homo, snps_nonhomo, snp_noncoding,  non_snps_homo, non_snps_nonhomo, non_snps_noncoding, excl]\n",
    "subgroup_names2=[str(snp_perc1) + '%', '','', '', '','', '']\n",
    "#subgroup_names2=['', '','', '', '','', '']\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "mypie3, _ = ax.pie(subgroup_size2, radius=1.3-0.5, labels=subgroup_names2, labeldistance=0.8, colors=[c(0.4), b(0.6),'white', 'white', 'white', 'white', 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie3, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "#plt.legend()\n",
    " \n",
    "# show it\n",
    "#plt.tight_layout()\n",
    "ax.set_title('≥' + str(min_patients) + ' Patients with Mutation', pad=20, fontsize=15)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#fig.savefig('BE_donut_recur_nolabel_' + str(min_patients)+'.png', dpi=250)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PE VS. BE Comparison (recurrent mutants)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "pe = []\n",
    "be = []\n",
    "for min_patients in range(1,11):\n",
    "    atleast2 = result[result['num_occur']>=min_patients]\n",
    "    index2 = np.array(atleast2['indeces'])\n",
    "    idx_list = []\n",
    "    for i in index2: #lazy way of doing this...\n",
    "        ints = re.findall(r'\\d+', i)\n",
    "        for k in ints:\n",
    "            idx_list.append(int(k))\n",
    "\n",
    "    idx_list = np.unique(idx_list)\n",
    "\n",
    "    recur_binary = np.zeros(len(df))\n",
    "    for i in idx_list:\n",
    "        recur_binary[i]+=1\n",
    "\n",
    "    df['recur']=recur_binary\n",
    "\n",
    "    recurrent = df[df['recur']==1]\n",
    "\n",
    "\n",
    "    snps = recurrent[recurrent['variant_type']=='SNP']\n",
    "    snps_true = snps[snps['excluded_mutations']==0]\n",
    "\n",
    "    non_snps = recurrent[recurrent['variant_type']!='SNP']\n",
    "    non_snps_true = non_snps[non_snps['excluded_mutations']==0]\n",
    "\n",
    "    ##calculation for BE perc coverage\n",
    "    homo_snp = snps_true[snps_true['homologous']==1]\n",
    "    homo_and_model_BE = homo_snp[homo_snp['BE_total']==1]\n",
    "    BE_snps_homo = sum(np.array(homo_and_model_BE['homologous']))\n",
    "    BE_cover = 100*BE_snps_homo/len(recurrent)\n",
    "\n",
    "    ##calculation for PE perc coverage\n",
    "    homo_and_model = homo_snp[homo_snp['PEcover_rt30']==1]\n",
    "    homo_nonsnp = non_snps_true[non_snps_true['homologous']==1]\n",
    "    homo_and_model_ns = homo_nonsnp[homo_nonsnp['PEcover_rt30']==1]\n",
    "\n",
    "    snps_homo = sum(np.array(homo_and_model['homologous']))\n",
    "    non_snps_homo = sum(np.array(homo_and_model_ns['homologous']))\n",
    "    PE_cover = 100*(snps_homo+non_snps_homo)/len(recurrent)\n",
    "\n",
    "    be.append(BE_cover)\n",
    "    pe.append(PE_cover)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(10,6))\n",
    "plt.plot(range(1,11), be, linewidth=4, alpha=0.5, c='tab:red', label='BE')\n",
    "plt.scatter(range(1,11), be, c='tab:red')\n",
    "plt.plot(range(1,11), pe, linewidth=4, alpha=0.5, c='tab:blue', label='PE')\n",
    "plt.scatter(range(1,11), pe, c='tab:blue')\n",
    "plt.legend(loc='lower right', fontsize=17)\n",
    "plt.ylim(0,100)\n",
    "#plt.xlabel('', fontsize=15)\n",
    "#plt.ylabel('', fontsize=15)\n",
    "plt.xlabel('≥ # Patients with Mutation', fontsize=15)\n",
    "plt.ylabel('Total Percent Coverage', fontsize=15)\n",
    "plt.title('Mouse orthologous mutations', fontsize=15)\n",
    "\n",
    "plt.xticks(range(1,11), fontsize=15)\n",
    "plt.yticks(fontsize=15);\n",
    "\n",
    "#ax.set_xticklabels(['','','','','','','','','',''])\n",
    "#ax.set_yticklabels(['','','','','',''])\n",
    "\n",
    "\n",
    "plt.tight_layout()\n",
    "#plt.savefig('mouse_PE_BE_nolabels.png', dpi=250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Flank Size/Orthology Threshold Analysis\n",
    "\n",
    "Capabilities of prime editing and base editing to model orthologous mutations in mice as a function of flank size (i.e. stringency of homology). \n",
    "\n",
    "\n",
    "Flank size is defined as the number of amino acids on either side of the mutant codon that must match between the human and mouse orthologs for the mutation to be considered orthologous (e.g. flank size of 2 would mean that a total of 5 amino acids–2 upstream and 2 downstream of the mutant codon–would need to match in the human and mouse protein to be considered orthologous). \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "flank_size=5\n",
    "i = flank_size\n",
    "df = pd.read_csv(path+'flanksize_' + str(i) +'.csv')\n",
    "mut_types = np.unique(df['variant_type'])\n",
    "\n",
    "df['CBEproto']=CBEproto\n",
    "df['CBEideal']=CBEideal\n",
    "df['ABEproto']=ABEproto\n",
    "df['ABEideal']=ABEideal\n",
    "df['BE_total'] = CBEproto+ABEproto\n",
    "\n",
    "df['PEcover_rt30'] = cover_list[29]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "##generating dataframe\n",
    "min_patients=1\n",
    "\n",
    "atleast2 = result[result['num_occur']>=min_patients]\n",
    "index2 = np.array(atleast2['indeces'])\n",
    "idx_list = []\n",
    "for i in index2: #lazy way of doing this...\n",
    "    ints = re.findall(r'\\d+', i)\n",
    "    for k in ints:\n",
    "        idx_list.append(int(k))\n",
    "\n",
    "idx_list = np.unique(idx_list)\n",
    "\n",
    "recur_binary = np.zeros(len(df))\n",
    "for i in idx_list:\n",
    "    recur_binary[i]+=1\n",
    "    \n",
    "df['recur']=recur_binary\n",
    "\n",
    "recurrent = df[df['recur']==1]\n",
    "\n",
    "###plotting\n",
    "snps = recurrent[recurrent['variant_type']=='SNP']\n",
    "snps_true = snps[snps['excluded_mutations']==0]\n",
    "\n",
    "non_snps = recurrent[recurrent['variant_type']!='SNP']\n",
    "non_snps_true = non_snps[non_snps['excluded_mutations']==0]\n",
    "\n",
    "excl = sum(recurrent['excluded_mutations'])\n",
    "snps_perc = np.round(100*len(snps_true)/len(recurrent), 1)\n",
    "excl_perc = np.round(100*excl/len(recurrent), 1)\n",
    "non_snps_perc = np.round(100*(len(recurrent)-excl-len(snps_true))/len(recurrent), 1)\n",
    "\n",
    "\n",
    "#alternate version\n",
    "group_names=['SNP – ' + str(snps_perc) + '%', 'Other mutation \\n type – ' + str(non_snps_perc) + '%', 'Excluded \\nMutations – '+ str(excl_perc) + '%'] #\n",
    "#group_names = ['','','']\n",
    "snp_unrecorded = []\n",
    "group_size=[len(snps_true), len(non_snps_true), excl] #excluding missing SNPs\n",
    "\n",
    "snps_coding = sum(np.array(snps_true['coding_mutations']))\n",
    "snp_noncoding = sum(np.array(snps_true['non_coding_mutations']))\n",
    "\n",
    "non_snps_coding = sum(np.array(non_snps_true['coding_mutations']))\n",
    "non_snps_noncoding = sum(np.array(non_snps_true['non_coding_mutations']))\n",
    "\n",
    "subgroup_size = [snps_coding,snp_noncoding, non_snps_coding,non_snps_noncoding, excl]\n",
    "snpprct = np.round(100*snps_coding/len(snps_true), 1)\n",
    "nsnpprct = np.round(100*non_snps_coding/len(non_snps_true), 1)\n",
    "subgroup_names=[str(snpprct) + '%', '', str(nsnpprct) + '%', '', '']\n",
    "#subgroup_names=['', '', '', '', '']\n",
    "\n",
    " \n",
    "    \n",
    "# Create colors\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    " \n",
    "# First Ring (outside)\n",
    "fig, ax = plt.subplots(figsize=(14,10))\n",
    "ax.axis('equal')\n",
    "mypie, _ = ax.pie(group_size, radius=1.3, labels=group_names, colors=[a(0.6), 'tab:gray',b(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie, width=0.25, edgecolor='white')\n",
    " \n",
    "# Second Ring (Inside)\n",
    "mypie2, _ = ax.pie(subgroup_size, radius=1.3-0.25, labels=subgroup_names, labeldistance=0.80, colors=[c(0.6), b(0.6), c(0.6), b(0.6), 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie2, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "\n",
    "#third ring (smalles)\n",
    "homo_snp = snps_true[snps_true['homologous']==1]\n",
    "homo_and_model = homo_snp[homo_snp['PEcover_rt30']==1]\n",
    "homo_nonsnp = non_snps_true[non_snps_true['homologous']==1]\n",
    "homo_and_model_ns = homo_nonsnp[homo_nonsnp['PEcover_rt30']==1]\n",
    "\n",
    "snps_homo = sum(np.array(homo_and_model['homologous']))\n",
    "snps_nonhomo = snps_coding - snps_homo\n",
    "non_snps_homo = sum(np.array(homo_and_model_ns['homologous']))\n",
    "non_snps_nonhomo = non_snps_coding - non_snps_homo\n",
    "\n",
    "snp_perc1 = np.round(100*snps_homo/(snps_homo+snps_nonhomo),1)\n",
    "non_snp_perc1 = np.round(100*non_snps_homo/(non_snps_homo+non_snps_nonhomo),1)\n",
    "\n",
    "subgroup_size2 = [snps_homo, snps_nonhomo, snp_noncoding,  non_snps_homo, non_snps_nonhomo, non_snps_noncoding, excl]\n",
    "subgroup_names2=[str(snp_perc1) + '%', '','', str(non_snp_perc1) + '%', '','', '']\n",
    "#subgroup_names2=['', '','', '', '','', '']\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "mypie3, _ = ax.pie(subgroup_size2, radius=1.3-0.5, labels=subgroup_names2, labeldistance=0.75, colors=[c(0.4), b(0.6),'white', c(0.4), b(0.6), 'white', 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie3, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "#plt.legend()\n",
    " \n",
    "# show it\n",
    "#plt.tight_layout()\n",
    "ax.set_title('RT Template Length = 30\\n Flank size = ' + str(flank_size), pad=20, fontsize=15)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#fig.savefig('PE_donut_recur_flank_nolabel_' + str(flank_size)+'.png', dpi=250)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "flank_size=2\n",
    "i = flank_size\n",
    "df = pd.read_csv(path+'flanksize_' + str(i) +'.csv')\n",
    "mut_types = np.unique(df['variant_type'])\n",
    "\n",
    "df['CBEproto']=CBEproto\n",
    "df['CBEideal']=CBEideal\n",
    "df['ABEproto']=ABEproto\n",
    "df['ABEideal']=ABEideal\n",
    "df['BE_total'] = CBEproto+ABEproto\n",
    "\n",
    "df['PEcover_rt30'] = cover_list[29]\n",
    "\n",
    "##generating dataframe\n",
    "min_patients=1\n",
    "\n",
    "atleast2 = result[result['num_occur']>=min_patients]\n",
    "index2 = np.array(atleast2['indeces'])\n",
    "idx_list = []\n",
    "for i in index2: #lazy way of doing this...\n",
    "    ints = re.findall(r'\\d+', i)\n",
    "    for k in ints:\n",
    "        idx_list.append(int(k))\n",
    "\n",
    "idx_list = np.unique(idx_list)\n",
    "\n",
    "recur_binary = np.zeros(len(df))\n",
    "for i in idx_list:\n",
    "    recur_binary[i]+=1\n",
    "    \n",
    "df['recur']=recur_binary\n",
    "\n",
    "recurrent = df[df['recur']==1]\n",
    "\n",
    "###plotting\n",
    "snps = recurrent[recurrent['variant_type']=='SNP']\n",
    "snps_true = snps[snps['excluded_mutations']==0]\n",
    "\n",
    "non_snps = recurrent[recurrent['variant_type']!='SNP']\n",
    "non_snps_true = non_snps[non_snps['excluded_mutations']==0]\n",
    "\n",
    "excl = sum(recurrent['excluded_mutations'])\n",
    "snps_perc = np.round(100*len(snps_true)/len(recurrent), 1)\n",
    "excl_perc = np.round(100*excl/len(recurrent), 1)\n",
    "non_snps_perc = np.round(100*(len(recurrent)-excl-len(snps_true))/len(recurrent), 1)\n",
    "\n",
    "\n",
    "#alternate version\n",
    "group_names=['SNP – ' + str(snps_perc) + '%', 'Other mutation \\n type – ' + str(non_snps_perc) + '%', 'Excluded \\nMutations – '+ str(excl_perc) + '%'] #\n",
    "#group_names=['','','']\n",
    "\n",
    "\n",
    "snp_unrecorded = []\n",
    "group_size=[len(snps_true), len(non_snps_true), excl] #excluding missing SNPs\n",
    "\n",
    "snps_coding = sum(np.array(snps_true['coding_mutations']))\n",
    "snp_noncoding = sum(np.array(snps_true['non_coding_mutations']))\n",
    "\n",
    "non_snps_coding = sum(np.array(non_snps_true['coding_mutations']))\n",
    "non_snps_noncoding = sum(np.array(non_snps_true['non_coding_mutations']))\n",
    "\n",
    "subgroup_size = [snps_coding,snp_noncoding, non_snps_coding,non_snps_noncoding, excl]\n",
    "snpprct = np.round(100*snps_coding/len(snps_true), 1)\n",
    "nsnpprct = np.round(100*non_snps_coding/len(non_snps_true), 1)\n",
    "subgroup_names=[str(snpprct) + '%', '', '', '', '']\n",
    "#subgroup_names=['', '', '', '', '']\n",
    "\n",
    "\n",
    "# Create colors\n",
    "a, b, c, d=[plt.cm.Blues, plt.cm.Reds, plt.cm.Greens, plt.cm.Purples]\n",
    " \n",
    "# First Ring (outside)\n",
    "fig, ax = plt.subplots(figsize=(14,10))\n",
    "ax.axis('equal')\n",
    "mypie, _ = ax.pie(group_size, radius=1.3, labels=group_names, colors=[a(0.6), 'tab:gray',b(0.6)], textprops={'fontsize': 15})\n",
    "plt.setp( mypie, width=0.25, edgecolor='white')\n",
    " \n",
    "# Second Ring (Inside)\n",
    "mypie2, _ = ax.pie(subgroup_size, radius=1.3-0.25, labels=subgroup_names, labeldistance=0.80, colors=[c(0.6), b(0.6), 'white', 'white', 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie2, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "\n",
    "#third ring (smalles)\n",
    "homo_snp = snps_true[snps_true['homologous']==1]\n",
    "homo_and_model = homo_snp[homo_snp['BE_total']==1]\n",
    "homo_nonsnp = non_snps_true[non_snps_true['homologous']==1]\n",
    "homo_and_model_ns = homo_nonsnp[homo_nonsnp['PEcover_rt30']==1]\n",
    "\n",
    "snps_homo = sum(np.array(homo_and_model['homologous']))\n",
    "snps_nonhomo = snps_coding - snps_homo\n",
    "non_snps_homo = sum(np.array(homo_and_model_ns['homologous'])) #these are inaccurate but doesn't matter\n",
    "non_snps_nonhomo = non_snps_coding - non_snps_homo\n",
    "\n",
    "snp_perc1 = np.round(100*snps_homo/(snps_homo+snps_nonhomo),1)\n",
    "non_snp_perc1 = np.round(100*non_snps_homo/(non_snps_homo+non_snps_nonhomo),1)\n",
    "\n",
    "subgroup_size2 = [snps_homo, snps_nonhomo, snp_noncoding,  non_snps_homo, non_snps_nonhomo, non_snps_noncoding, excl]\n",
    "subgroup_names2=[str(snp_perc1) + '%', '','', '', '','', '']\n",
    "#subgroup_names2=['', '','', '', '','', '']\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "mypie3, _ = ax.pie(subgroup_size2, radius=1.3-0.5, labels=subgroup_names2, labeldistance=0.8, colors=[c(0.4), b(0.6),'white', 'white', 'white', 'white', 'white'], textprops={'fontsize': 14})\n",
    "plt.setp( mypie3, width=0.25, edgecolor='white')\n",
    "plt.margins(0,0)\n",
    "#plt.legend()\n",
    " \n",
    "# show it\n",
    "#plt.tight_layout()\n",
    "ax.set_title('Flank Size = ' + str(flank_size), pad=20, fontsize=15)\n",
    "\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#fig.savefig('BE_donut_recur_flank_nolabel_' + str(flank_size)+'.png', dpi=250)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {},
   "outputs": [],
   "source": [
    "pe = []\n",
    "be = []\n",
    "for flank_size in range(21):\n",
    "    \n",
    "    df = pd.read_csv(path+'flanksize_' + str(flank_size) +'.csv')\n",
    "    mut_types = np.unique(df['variant_type'])\n",
    "\n",
    "    df['CBEproto']=CBEproto\n",
    "    df['CBEideal']=CBEideal\n",
    "    df['ABEproto']=ABEproto\n",
    "    df['ABEideal']=ABEideal\n",
    "    df['BE_total'] = CBEproto+ABEproto\n",
    "\n",
    "    df['PEcover_rt30'] = cover_list[29]\n",
    "    \n",
    "    min_patients=1\n",
    "    \n",
    "    atleast2 = result[result['num_occur']>=min_patients]\n",
    "    index2 = np.array(atleast2['indeces'])\n",
    "    idx_list = []\n",
    "    for i in index2: #lazy way of doing this...\n",
    "        ints = re.findall(r'\\d+', i)\n",
    "        for k in ints:\n",
    "            idx_list.append(int(k))\n",
    "\n",
    "    idx_list = np.unique(idx_list)\n",
    "\n",
    "    recur_binary = np.zeros(len(df))\n",
    "    for i in idx_list:\n",
    "        recur_binary[i]+=1\n",
    "\n",
    "    df['recur']=recur_binary\n",
    "\n",
    "    recurrent = df[df['recur']==1]\n",
    "\n",
    "\n",
    "    snps = recurrent[recurrent['variant_type']=='SNP']\n",
    "    snps_true = snps[snps['excluded_mutations']==0]\n",
    "\n",
    "    non_snps = recurrent[recurrent['variant_type']!='SNP']\n",
    "    non_snps_true = non_snps[non_snps['excluded_mutations']==0]\n",
    "\n",
    "    ##calculation for BE perc coverage\n",
    "    homo_snp = snps_true[snps_true['homologous']==1]\n",
    "    homo_and_model_BE = homo_snp[homo_snp['BE_total']==1]\n",
    "    BE_snps_homo = sum(np.array(homo_and_model_BE['homologous']))\n",
    "    BE_cover = 100*BE_snps_homo/len(recurrent)\n",
    "\n",
    "    ##calculation for PE perc coverage\n",
    "    homo_and_model = homo_snp[homo_snp['PEcover_rt30']==1]\n",
    "    homo_nonsnp = non_snps_true[non_snps_true['homologous']==1]\n",
    "    homo_and_model_ns = homo_nonsnp[homo_nonsnp['PEcover_rt30']==1]\n",
    "\n",
    "    snps_homo = sum(np.array(homo_and_model['homologous']))\n",
    "    non_snps_homo = sum(np.array(homo_and_model_ns['homologous']))\n",
    "    PE_cover = 100*(snps_homo+non_snps_homo)/len(recurrent)\n",
    "\n",
    "    be.append(BE_cover)\n",
    "    pe.append(PE_cover)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,6))\n",
    "plt.plot(range(0,21), be, linewidth=4, alpha=0.5, c='tab:red', label='BE')\n",
    "plt.scatter(range(0,21), be, c='tab:red')\n",
    "plt.plot(range(0,21), pe, linewidth=4, alpha=0.5, c='tab:blue', label='PE')\n",
    "plt.scatter(range(0,21), pe, c='tab:blue')\n",
    "plt.legend(fontsize=16)\n",
    "plt.ylim(0,100)\n",
    "plt.xlabel('Flank Size (+/- AA)', fontsize=15)\n",
    "plt.ylabel('Total Percent Coverage', fontsize=15)\n",
    "plt.title('Mouse orthologous mutations', fontsize=15)\n",
    "\n",
    "plt.xticks(range(0,21, 5), fontsize=15)\n",
    "plt.yticks(fontsize=15);\n",
    "plt.tight_layout()\n",
    "plt.savefig('mouse_PE_BE_flank_size5.png', dpi=250)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {
    "height": "126.63602447509766px",
    "width": "200.99264526367188px"
   },
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
